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119631 - MATHEMATICAL ANALYSIS I

ANDREA SUSA

First Semester 9MAT/05ita

Learning objectives

The objective of this course is to acquire the basic knowledge of Mathematical Analysis. In particular, the objectives, expressed according to the Dublin descriptors, are the following:

Knowledge and understanding:
the student will learn the fundamental notions relating to integral calculus for real functions of a variable and to differential calculus for functions of one variable. He will also learn the notions related to the study of numerical series and linear algebra.

Ability to apply knowledge and understanding:
Through targeted examples, the student will be able to verify the need to resort to Mathematical Analysis in the scientific field and not only as a discipline for its own sake. He will be able to use the calculation tools learned to solve problems applied to reality or to other disciplines.Making judgments the student is frequently assigned exercises to be carried out independently by stimulating the skills acquired. Furthermore, simulations of exam tests are periodically carried out.

Communication skills:
The student is constantly stimulated during the course to interact with the teacher; he will acquire the ability to communicate by expressing himself in a correct language applied to the mathematical context. This will stimulate the acquisition of a mathematical language useful for communicating clearly in the scientific field.

Learning skills:
The student will be guided to perfect their study method also through exercises carried out regularly, will be able to autonomously deepen their knowledge and tackle new topics by recognizing the prerequisites necessary for their understanding.

Teacher's Profile

courseProgram

NUMERICAL SETS
Definition of set and operations between sets. Properties. Cartesian product, equivalence and order relations. Equinumerous sets. Set of natural, integer, rational, real numbers and their properties. Infimum and supremum of a set. Combinatorial calculation: permutations and simple combinations. Binomial expansion.

SET OF COMPLEX NUMBERS
Definition of the set of complex numbers. Algebraic representation of a complex number. Opposite, conjugate, modulus of a complex number and their properties. Operations between complex numbers (sum, difference, product and quotient). Graphical representation of a complex number. Trigonometric form of a complex number. Power and n-th root of a complex number. Exponential representation and Euler's formulas. Algebraic equations in C.

VECTORS
Definitions and examples of vectors. Operations on vectors. Versor. Scalar product. Cross product of vectors. Examples.

VECTOR SPACE
Space R^n. Definition and basic properties. Subspaces. Linear dependence and independence. Bases and dimensions. Examples. Normed vector spaces and inner product spaces.

INTRODUCTION TO MATRIX CALCULATIONS
Definition of matrix. Sum between matrices, matrix product and their properties. Transposed matrix. Definition of determinant and its properties. Calculation through the Laplace formula. Inverse matrix. Rank of a matrix. Examples.

LINEAR SYSTEM
Linear maps. Linear systems. Examples. Homogeneous systems. Cramer's rule. Rouché-Capelli theorem. Matrix diagonalization. Introduction to eigenvalues and eigenvectors. Algebraic multiplicity and geometric multiplicity.

INTRODUCTION OF SPACE GEOMETRY
Equation of straight line in space. Parallelism and orthogonality between straight lines. Plane in space. Parallelism and orthogonality between straight line and plane. Orthogonality between planes. Examples.

ELEMENTARY FUNCTIONS
Definition of function. Injective, surjective, bijective and invertible functions. Monotonic functions. Composition between functions.
Exponentiation with natural and real exponent and its properties. Root extraction and its properties. Exponential function and its properties. Logarithm function and its properties. Trigonometric functions and properties. Inverse trigonometric functions. Function graphs.

SEQUENCES
Definition of sequence. Convergence and divergence. Uniqueness of the limit. Operations with limits. Comparison theorems. Remarkable limits. Monotonic sequences. Extract of a sequence. Bolzano-Weierstrass theorem. Cauchy convergence criterion.

SERIES
Definition of series. Sequence of partial sums, series with positive terms, harmonic series, geometric series, telescoping series. Necessary condition of convergence. Comparison criterion, ratio criterion, root criterion, infinitesimal criterion. Alternating series. Absolute convergence. Leibniz criterion.

LIMITS AND CONTINUITY FOR REAL FUNCTIONS OF A REAL VARIABLE
Limits of functions of a real variable and properties. Operations with limits. Remarkable limits. Continuity and theorems on continuous functions. Monotonic functions. Maximum and minimum of function. Asymptotes. Discontinuity.

DERIVATIVES FOR REAL FUNCTIONS OF A REAL VARIABLE
Difference quotient. Geometric interpretation of the derivative. Derivative of elementary functions. Differentiation rules. Derivative of composed function. Derivative of the inverse function. Rolle's theorem, Lagrange's theorem. Non-derivability. Critical points, monotony, concavity and convexity. The de l'Hôpital theorem. Study of the graph of a function.
Infinitesimal and infinite concept. Applications to the calculation of limits. The concept of differential. Taylor-MacLaurin formula with Peano remainder and with Lagrange remainder.

INTEGRAL
Definition of integral. Classes of integrable functions. Integral properties. Integral mean theorem. Fundamental theorem of integral calculus. Primitives and calculation of Riemann integrals. Immediate integrals by decomposition, by replacement. Integration of rational functions. Integration by parts. Integration of trigonometric functions. Integration of irrational functions.

examMode

The final exam consists of a written test followed, in case of a positive result, by an oral test. The written test consists of some exercises on the program.

books

Analisi Matematica 1 con elementi di geometria e algebra lineare. Bramanti, Pagani, Salsa. Zanichelli (ed. 2014)

classRoomMode

Attendance at classes is optional but highly recommended

bibliography

Elementi di analisi matematica 1. Versione semplificata per i nuovi corsi di laurea. Marcellini, Sbordone. Liguori (ed. 2002)

Esercitazione di matematica Vol 1. Marcellini, Sbordone. Liguori
Esercitazione di matematica Vol 2. Marcellini, Sbordone. Liguori

18122 - CHEMISTRY

STEFANO BOROCCI

First Semester 9CHIM/07ITA

Learning objectives

"Learning objectives:
The course aim is to provide an introduction to the language and the methodology of study of general chemical phenomena. In particular the course aim is to provide the basic principles for the study of atomic structure of matter, the molecular structures and the properties of the matter, the chemical reactivity and the quantitative aspect of chemical reactions, the chemical equilibrium, the properties of the solutions and principles of chemical kinetics and electrochemistry. Knowledge of these concepts is of fundamental importance to undertake the study of subsequent courses characterizing the degree course.

Learning achievements
At the end of course the student will have to show:
1) Knowledge and understanding; to know the fundamental principles of General Chemistry: the atomic structure, the properties of the elements and their ability to form compounds, molecular structures, chemical reactions, energy exchanges, states of matter, chemical kinetics, equilibrium in solution, the properties acid -bases, electrochemistry, the chemistry of the elements of the main groups
2) Applying knowledge and understanding; to have acquired applicative skills concerning balance reactions, stoichiometry and problem solving on aqueous solution equilibria (acids-bases, solubility product) and electrochemistry
3) Making judgements; to be able to assess and solve autonomously problems related to the course content
4) Communication skills; to have developed oral and written communication skills suited to the presentation of the concepts acquired
5) Learning skills; to be able to explore the topics in different contexts and autonomously"

Teacher's Profile

courseProgram

Introduction
Aggregation states of matter. Homogeneous and heterogeneous systems. Compounds and chemical elements. Separation techniques (filtration, centrifugation, distillation). Physical and chemical changes. Energy and chemical changes. Intensive and extensive properties of matter. Atomic structure: protons, electrons and neutrons. Atomic number and mass number: isotopes. Atomic mass and relative atomic mass. Symbols of chemical elements. Molecular compounds and ionic compounds. Relative molecular mass. Mole and Avogadro’s number.

Atomic structure
The Bohr model of the hydrogen atom. Atomic spectra. De Broglie and the wave nature of matter The Heisenberg indeterminacy principle. Particle-wave duality. Atomic orbitals. Quantum numbers. The Pauli exclusion principle. Electron configuration of the elements: aufbau principle. The periodic system of the elements. Periodic properties.

Chemical Bond
Ionic and covalent bond. Bond properties: order, energy and length. Electronegativity and dipole moment of molecules. Lewis structures. The VSEPR model and the shape of molecules. Theories of chemical bonding: hybridization of atomic orbitals, resonance theory in chemistry. Magnetic properties of molecules. Intermolecular forces. Hydrogen bonding.

Chemical Formulas
Nomenclature of inorganic compounds. Oxidation number. Oxidation-reduction reactions.

The gaseous state
The ideal gas law. Dalton’s law and mixtures of gases. The density of gases. Relative density of gas and mixture of gases. The average molecular mass of a mixture of gases. Real gases; the Van der Waals equation of real gases. Boyle’s temperature. The critical state of gases.

The solid state
Crystal lattices and unit cells. Molecular, ionic and covalent solids. Metals. Allotropy and polymorphism. Molecular orbital theory. The band theory of solids: metals, semiconductors and insulators. Doped semiconductors: n and p-type semiconductors.

The liquid state
Surface tension of liquids. Viscosity. Vapor pressure. Thermotropic and lyotropic liquid crystals: properties and technological applications.

Thermodynamics
Thermodynamic system. State functions. Cyclic and non-cyclic processes. Reversible and irreversible processes. Heat, work and internal energy. The first law of thermodynamics. Enthalpy and Hess’s law. Entropy. The second law of thermodynamics. Spontaneous processes. Free energy. The third law of thermodynamics.

Physical equilibria
Phase transitions: Clapeyron and Claussius-Clapeyron equations. Phase diagram of water and carbon dioxide.

Solutions
Units of concentration. Solubility and dissolution processes. Solutions of gases in liquids. Entalpy of solution and the effect of the temperature on solubility. Ideal and real solutions. Roult’s law. Colligative properties of ideal solutions. Colligative properties and molar mass determination. Miscible, immiscible and partially miscible liquids.

Chemical Equilibrium
Spontaneous processes and thermodynamic equilibrium in chemical reactions. Law of mass action. The equilibrium constant. van't Hoff equations: isotherm and isochore equation. Equilibri omogenei. Le Chathelier’s principle. Effect of the addition or removal of a reagent or product. Effect of volume, pressure and temperature changes on the homogeneous equilibria. Heterogeneous equilibria.

Electrolytic solutions
Arrhenius theory of electrolytic dissociation. Ions and molecules in aqueous solutions: strong electrolytes and weak electrolytes. Colligative properties of solutions containing ions: van't Hoff factor.

Chimical equilibria in solutions
Acid-base equilibria. Classifications of acids and bases (Arrhenius, Broensted-Lowry, Lewis). Acid and base strength: the ionization constant. Molecular structure and acid strength. Autoionization of water. The pH scale. Calculation of pH of a strong/weak acid/base solutions. Acid-base properties of salt solutions. Buffer solutions. Solubility of salts and the solubility product constant.

Chemical Kinetics
Rates of chemical reactions. Rate laws and integrated rate laws. Order of chemical reactions The Arrhenius equation and the temperature dependence of reaction rate. Activation energy. Collision theory and transition state theory of chemical reactions. Reaction mechanisms, molecularity of a chemical reaction. Catalysis.

Electrochemistry
Semielement potential and the Nernst equation. Standard reduction potentials. Electrochemical cells: chemical cells and concentration cells. Electrolysis: Faraday’s laws. Application: storage battery and corrosion.

Stoichiometry: Mole. Empirical and molecular formulas. Chemical equations and mass relationships in chemical reactions. Limiting reactant. Gas law and chemical reactions. Quantitative analysis of a mixture. Solutions and volumetric analysis. Gas-phase equilibium; homogeneous and heterogeneous equilibria. Thermochemistry and thermodynamics of chemical reactions. Colligative properties of solutions. Calculation of pH of aqueous solutions: strong/weak acid and base solutions, salt solutions and buffer solutions.

examMode

Exams take place in three sessions:
winter session (early summer session)
summer session
The exam will consist of a written test and an oral test. Written test presents five numerical problems of stoichiometry. To proceed to the oral exam the minimum mark requested is 16/30. The validity of a written test is limited to the session in which it took place. Oral test is aimed at verifying the acquired knowledge and skills.

books

1) Autori vari a cura di M. Speranza, A. Filppi, Le Basi della Chimica, EdizioniA.L.E
2) R.A. Michelin, A. Munari, Fondamenti di Chimica, CEA, III Edizione
3) M. Silberberg, P. Amateis Chimica, McGraw-Hill 4 Ed.
4) P. Atkins, L. Jones "Principi di Chimica", Ed. Zanichelli

Stechiometria:
P. Michelin Lausarot, A. Vaglio "Stechiometria per la chimica generale", ed. Piccin
F. Cacace, M. Schiavello, "Stechiometria", ed Bulzoni.

mode

Class lessons: theory and stoichiometric exercises

classRoomMode

Attendance in this course is not required

bibliography

1) Autori vari a cura di M. Speranza, A. Filppi, Le Basi della Chimica, EdizioniA.L.E
2) R.A. Michelin, A. Munari, Fondamenti di Chimica, CEA, III Edizione
3) M. Silberberg, P. Amateis Chimica, McGraw-Hill 4 Ed.
4) P. Atkins, L. Jones "Principi di Chimica", Ed. Zanichelli

Stechiometria:
P. Michelin Lausarot, A. Vaglio "Stechiometria per la chimica generale", ed. Piccin
F. Cacace, M. Schiavello, "Stechiometria", ed Bulzoni.

119632 - COMPUTER SCIENCE

ANDREA ZINGONI

First Semester 9ING-INF/05ita

Learning objectives

"The objective of this course is to show to the students the fundamental aspects of computer science, aiming at introducing them to coding and at providing them with specific skills. Particular attention will be paid to the development of their logical and problem-solving skills.
After a first introductory part, where the basic aspects of Boolean algebra and of the functioning of a computer will be sketched, the software Matlab® will be presented, in order to show to the students the basics of coding (variables and formats, functions, alternatives, iterations etc.), and to make them capable of solving some mathematical problems algorithmically. Then, the language Python will be presented, since the basics to the classes, so as to introduce object-oriented programming.
During the course, some specific topics will be also addressed, as statistical operations, image representation/elaboration via computer and contents acquisition from web pages (scraping).
The expected learning results consists in:
1) Knowledge and understanding of the touched topics;
2) Application of sknowledge and understanding to real problems in which computer science can be employed;
3) Making judgements independently;
4) Communication skills;
5) Learning and self-learning skills."

Teacher's Profile

courseProgram

- Introduction to computer science.
- Fundamental aspects of Boolean algebra.
- Logical operations and functions.
- Computer architecture.
- Digital circuits.
- Introduction to coding.
- Introduction to Matlab (environments, variables and types).
- Matlab functions (pre-implemented or customized) and their representation.
- Iterations and alternatives in Matlab.
- Introduction to Python: IDE, variables, operations.
- Functions and libraries in Pyhon, functions plot.
- Iterations and alternatives in Python.
- Definition and use of classes in Python.
- Statistic calculations routines in Matlab and Python.
- Digital image representation and processing.
- Problem solving examples in Matlab.
- Problem solving examples in Python.

examMode

Practical part: Solution of one or more exercises or problems, by using Matlab and/or Python, concerning the topics presented during the lessons.
Students must show they have learnt a logic reasoning methodology and can solve the tasks autonomously.
The given time can vary from 1.5 to 2 hours, depending on the proposed exercises.
The exercises will be divided in several sections, each one having a certain maximum score. Solving the whole exam results in 33 points. To be admitted to the oral part, a minimum score of 16 must be achieved.

Oral part: Discussion about some of the topics of the course and/or on the exercises of the practical part.

books

- "Reti logiche", di C. Bolchini, C. Bandolese, F. Salice, D. Sciuto, ed. Apogeo 2008 (in particolare Cap. 1; 2; 3.1-3.5, 4.1-4.4, 5, 7.1-7.2).
- "An Introduction to Boolean Algebras", di A. Schardijn (2016), Electronic Theses, Projects, and Dissertations, 421, California State University.
- "Imparare Python" 4°ed., di M. Lutz (2011), ed. O'Reilly Media.
- "MATLAB: A Practical Introduction to Programming and Problem Solving", di S. Attaway (2018), ed. Elsevier - Butterworth-Heinmann.
- Professor's booklets (to be asked via e-mail)

mode

Lessons will be both theoretical/discursive (introduction to the basic aspects of computer science) and practical (presentation of programming languages by direct use of them). Training lessons will alternate with normal ones, in order to develop coding and problems solving skills. During the course, the professor could organize seminars or speeches by experts in the addressed topics.
The lessons will be always streamed and recorded, to allows students to participate also remotely, both in synchronous and asynchronous mode, and to view more times the explanations provided. However, it is strongly suggested to be present in the classroom during the lessons.

classRoomMode

Attendance of the course is optional

bibliography

Teaching materials provided by the lecturer.

16182 - ENGLISH LANGUAGE

IVANO CROSIO

First Semester 3L-LIN/12ITA

Learning objectives

The learner is able to know and understand the topics related to the syntax and vocabulary of the English language for a B1 level, which concern the structures to be used in everyday communication. He/she is also able to understand the key points of topics relating to their specific field of study.
The learner is able to interact with ease, without errors and misunderstandings, in everyday situations where the language of communication is English. He/she is able to use the tools and vocabulary learned related to their field of study.
the learner is able to independently deepen, through information and communication technologies, what he/she has learnt with regard to everyday aspects of language use but especially with regard to knowledge acquired in his/her specific field of study
the learner has acquired the ability to produce written texts, in a clear and complete manner, on topics of everyday life but also on subjects related to their specific field of study.
The learner is able to act independently to deepen and integrate the knowledge acquired during the course, expanding the specialised lexicon, writing and communication strategies to be implemented in an English language conversation.

Teacher's Profile

courseProgram

The student can understand straightforward factual information about common everyday or job related topics, identifying both general messages and specific details, provided speech is clearly articulated in a generally familiar accent. Can read straightforward factual texts on subjects related to his/her field and interests with a satisfactory level of comprehension. Can reasonably fluently sustain a straightforward description of one of a variety of subjects within his/her field of interest, presenting it as a linear sequence of points. Can clearly express feelings about something experienced and give reasons to explain those feelings. Can write straightforward connected texts on a range of familiar subjects within his/her field of interest, by linking a series of shorter discrete elements into a linear sequence.
Lectures are delivered by means of materials distributed on the Moodle platform and Power Point slides prepared by the lecturer on various topics related to the degree course. The various linguistic structures and the grammatical part are also explained.

examMode

The final proficiency test will be written and oral
For the written: composition on one of the topics covered in class;
For the oral: discussion of the topic covered in the written
The topic for the written and oral will be related to a topic relevant to one's undergraduate course.
The use of dictionaries is permitted.

books

Materials provided by the lecturer and available on the Moodle platform

classRoomMode

Attendance to the classes is strongly recommended

bibliography

Lectures

15673 - MATHEMATICAL ANALYSIS II

Second Semester 9MAT/07ITA

Learning objectives

"1) Knowledge and understanding of the functions of several variables and of the differential calculus for functions of several variables;
2) Knowledge and understanding applied to the study of the functions of several variables and of the differential calculus for functions of several variables;
3) Autonomy of judgment in the approach to the functions of several variables and of the differential calculus for functions of several variables;
4) Communication skills of the knowledge on the functions of several variables and of the differential calculus for functions of several variables;
5) Ability to learn the functions of several variables and the differential calculus for functions of several variables."

15664 - PHYSICS I

ILARIA ARMENTANO

Second Semester 9FIS/01ITA

Learning objectives

"he course that Industrial Engineering students attend in the second semester of the first academic year intends to introduce the student to the principles of Mechanics, Static and Dynamics of Fluids, Oscillations and Thermodynamics, providing them with the basic knowledge of classical physics both from a theoretical point of view to the experimental one.
The course has the following training objectives:
- understanding of the classical mechanics of the material point;
- acquisition and understanding of the laws and principles of
Dynamics and statics of rigid bodies;
- acquisition of laws regulating static and fluid dynamics;
- understanding of oscillatory phenomena;
- acquisition of the fundamental principles of thermodynamics."

Teacher's Profile

courseProgram

1.Measurement and Vectors
2.Motion in One Dimension; Motion in two and three Dimensions
3.Newton’s Laws and their applications
4.Work and Kinetic Energy
5.The Conservation of Energy
6.Conservation of Linear Momentum
7.Rotation
8.Angular Momentum
9.Gravity
10.Static Equilibrium and Elasticity
11. Fluids
12.Oscillations; Traveling Waves;Superposition and Standing Waves
13.Temperature and the Kinetic Theory of Gases
14.Heat and the First Law of Thermodynamics
15.The Second Law of Thermodynamics

Detailed Program of the course:
Measurement units. International System. Conversions between units of measure. Laws of motion in one dimension: position, average speed, instantaneous speed. Average and instantaneous acceleration. Uniformly accelerated motion. Vectors and their properties.
Components of a vector. Versors. Motion in two dimensions: vector position, displacement, average speed. Instantaneous speed, average acceleration, instant acceleration. Circular motion kinematics: centripetal and tangential acceleration. Examples. Relative speed.

First law of dynamics, inertial reference systems. Principle of dynamics. Third Principle of Dynamics. Gravitational force. Inertial mass and gravitational mass. Normal reaction. Elastic force. Motion in fluid: resistance and limit speed. Dynamics of circular motion: centripetal force.


Work. Scalar product between two vectors. Kinetic energy theorem. Work of elastic force. Power. Conservative forces. Potential energy: gravitational and elastic potential energy. Non-conservative forces. Principle of mechanical energy conservation. Work of friction force and thermal energy.

Material Point Systems: Mass Center Definition. Determination of mass center for discrete and continuous systems. Linear momentum of a material point and a system of material points. The first cardinal equation of dynamics. Law of momentum conservation. Kinetic energy of a material point system: Konig theorem.

Impulse and impulse theorem. Elastic and inelastic collisions and examples. Rotation. Kinetic energy of a rotating body. Moment of inertia for discrete system of material points and continuous systems. Huygens-Steiner Theorem. Newton's second law for rotations. Moment of force. Examples and applications. Second cardinal equation of dynamics. Conservation of the angular momentum.

Oscillations. Period, frequency. Simple harmonic oscillator: general solution, period of harmonic oscillator simple. Examples. Simple harmonic motion and circular motion. Energy in simple harmonic motion. Examples of oscillating systems. Energy in the harmonic oscillator. Merit Factor. Examples. Forced oscillator and resonance.
Young module.
Fluids: density, surface volume forces, pressure. Stevino's Law. Pascal's principle, hydraulic jack. The Torricelli barometer for the measurement of atmospheric pressure. The pressure gauge. Archimedes Principle. Fluid dynamics: mass flow, volume flow, continuity equation. Bernoulli's theorem. Particular cases of Bernoulli's Theorem. Fluids: viscosity, Poiseuille law. Rolling and turbulent motion: Reynolds number. Surface tension, adhesion coefficient, concave and convex meniscus, contact angle.

Elastic waves. Transverse waves and longitudinal waves. Wave Equation. Speed of propagation of a wave. Propagation speed of a sound wave. Periodic waves. Wavelength, frequency, period, wave number, pulsation. Energy carried by a wave. Longitudinal sound waves. Energy of a sound wave. Waves in three dimensions: wavefront and spherical waves. Intensity. Waves and obstacles: Reflection, transmission and refraction. Interference. Doppler effect. Stationary waves.
Thermal equilibrium and temperature: zero principle of thermodynamics. Centigrade thermometer, gas thermometers and absolute temperature. The perfect gas state equation. Kinetic gas theory: gas pressure, microscopic temperature interpretation, energy equalization theorem.

Thermal capacity and specific heat. Status changes and latent heat. First principle of thermodynamics. Internal energy of a perfect gas. Thermodynamic transformations. Quasi-static and balance state transformations. Work and PV diagram for a gas: PV diagrams. Specific gases of perfect gases: specific heat at constant volume and constant pressure. Specific heat and energy equalization theorem.

Thermal machines and second thermodynamic principle: Kelvin statement, Clausius statement. Refrigerant machines according to the principle of thermodynamics. Equivalence of the two statements. Carnot Machine. Absolute temperature scale. Irreversibility, disorder and entropy. Entropy of a perfect gas. Entropy variations for some transformations. Entropy and second principle of thermodynamics. Consider the microscopic meaning of entropy.

Statistic and uncertain theory.
Casual and systematic errors. Experimental errors as measurement uncertainties. Uncertainty representation. Significant figures . Comparison between measured values and accepted values. Comparison between two measurements. Relative and absolute errors. Uncertainties in the direct measurements. Uncertainties in the product and ratio. Propagation error formula.
Mean and standard deviation. Histogram and limit distribution. Normal distribution. Interpretation of standard deviation in terms of confidence of 68. Justification of using the mean value as better value.
Linear correlation coefficient.

The following Physical Laboratory experiences (mandatory) exercises are also provided:
-measurement of the elastic constant of a spring;
-measurement of the oscillation period of a pendulum;
- measurement of the density of a body;
- measurement of the specific heat of a body.

examMode

Rules for the examination of PHYSICS I:
1) The exams take place in three sessions: winter session, summer session, autumn session.
2) The summer and winter sessions include three exams data, the autumn session two. Each exam data consists of a written test and an oral test.
3) To take the oral exam the mark obtained in the written test must be at least 18/30.
4) The validity of a written test passed to support the oral one is limited to the session in which it took place.
5) The student whose written exam has been assessed as insufficient will be able to take part in the next exam data of the same session, only if there is an interval of at least 20 days between the two written tests. This limitation does not exist if the student, deeming his written test insufficient, withdraws from the student by writing "WITHDRAWAL" on the letterhead.
6) During the two course, there are four laboratories whose frequency is mandatory to take the exam. Each laboratory involves the drawing up of a report concerning the type of experiment performed, which must be delivered at the end of the exercise itself. Each report is evaluated by a judgment (A: Excellent; B: good; C: sufficient; D: not enough).
7) The final grade of the exam will be based on the evaluation of the written test, the oral exam and laboratory reports.

books

P.A. Tipler, G. Mosca, “Corso di Fisica: Meccanica, Onde, Termodinamica”, ed Zanichelli.
J.R. Taylor, “Introduzione all'analisi degli errori. Lo studio delle incertezze nelle misure fisiche”, ed Zanichelli.

mode

The course is organized in theoretical classroom lessons (72 hours), with in the afternoon the analysis of specific problems and exercises on the subjects covered during the course and 4 practical laboratory (mandatory) that will take place in the teaching lab.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

P.A. Tipler, G. Mosca, “Corso di Fisica: Meccanica, Onde, Termodinamica”, ed Zanichelli.
J.R. Taylor, “Introduzione all'analisi degli errori. Lo studio delle incertezze nelle misure fisiche”, ed Zanichelli.
Resnick, Halliday, Krane, Fisica 1, Quinta Edizione, Casa Editrice Ambrosiana.

18369 - MATERIALS SCIENCE AND TECHNOLOGY

ULDERICO SANTAMARIA

Second Semester 6ING-IND/22ITA

Learning objectives

"KNOWLEDGE AND UNDERSTANDING CAPACITY Having developed knowledge of the basic chemical-physical characteristics of the constituent materials of artefacts of industrial interest and related degradation processes.
ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING Have developed the ability to understand and apply the contents discussed during the lessons to the daily study activities of materials and the state of conservation of industrial interest.
AUTONOMY OF JUDGMENT To be able to evaluate and choose suitable materials for correct use in the design phase of materials.<recognize materials and forms of degradation of materials industrial interest.
LEARNING SKILLS To be able to describe scientific topics concerning the constituent materials of works of art in written and oral form. This skill will be developed through the active involvement of students through oral classroom discussions and written papers on specific topics related to the course.
"

Teacher's Profile

courseProgram

Grouped theoretical topics:
- Classes of materials of technological interest and their characterizing properties (mechanical, thermal, electrical properties and relative measurements).
- Relationships between microstructure and properties (defects in crystals, solid solutions).
- References on heterogeneous balances and state diagrams.
- Plastics: polymerization and polymer structure (polyethylene, polypropylene, PVC, PMMA, polyester, phenolic, polyamide, epoxy resins, polyurethanes, silicones, elastomers); property; processing. Degradation mechanisms.
- Composite materials: classification. Matrices and reinforcements. Compatibilizers. Fiber glass. Carbon fibers. Aramid fibers. Production and properties. Manufacturing processes. Metal matrix, ceramic matrix and polymer matrix composites. Sandwich structures. Outline of mechanical properties and reinforcement mechanisms.
- Metallic materials. Ferrous alloys: cast iron, simple and alloyed steels (for carpentry, stainless, for tools). Ferro-carbon state diagram. Heat treatments of steel (hardening, annealing, normalization).
- Corrosion phenomena in metals. Corrosion protection methods.
- Materials for electronics. Electrical conduction in metals. Intrinsic semiconductors. Extrinsic semiconductors. Doping. Devices
semiconductors. Microelectronics. Semiconductor compounds. Electrical properties of ceramic materials. Dielectric properties.
Ceramic materials for capacitors. Ceramic semiconductors. Ferroelectric ceramics. Piezoelectricity.
- Glassy Materials: Glasses. Factors that influence the formation of a glass. Electronegativity and type of bond. Viscosity. Thermodynamics of glass formation. Glass transition temperature. Crystallization kinetics and glass formation. Structures and classifications of glass. Metallic glasses. Glass-ceramic.

Specific topics of the course:
Introduction to the course. Introduction to the materials being studied and the need to evaluate their properties. Properties of metallic, polymeric and ceramic materials in relation to the structure and types of bonding. Notes on composite materials. Ionic and covalent bond. Metallic bond. Secondary ties. Properties of materials in light of the nature of the bonds. Metal structure. Spatial lattice and unit cells. Crystalline systems and Bravais lattices. Cubic and hexagonal patterns. Atomic packing factors. Miller indices. Comparison between CFC and EC lattice. Polymorphism and allotropy. Elements of X-ray diffraction. Amorphous materials. Solidification and imperfections. Homogeneous and heterogeneous solidification. Energies involved in homogeneous solidification. Crystal growth. Grains. Replacement and interstitial solid solutions. Point defects: holidays and interstitial atoms. C in the Fe lattice: role of APF and forms of the voids. Line defects: dislocations. Burgers vector. Motion of dislocations in plastic deformation. Dislocation motion: analogies. Plastic deformation and role of dislocations. Work hardening. Wheat borders. Edges of twins. Grain size. Mechanical properties. Mechanical reaction of a material to stress: plastic, elastic deformation and breakage. Static and dynamic forces. Mechanical resistance tests: tensile test; nominal stresses and deformations; stress / strain graph; elastic modulus, shear modulus and Poisson modulus; ductility and its measures; stress at break and friction. Effort and real deformations. Examples of tensile tests for different materials. Fracture behavior. Ductile and fragile fracture. Toughness. Fracture in the presence of defects. Test of resilience. Ductile / brittle transition temperature. Hardness and hardness tests. Fatigue behavior. Fatigue tests. Metal creep and creep tests. Thermal properties: conductivity, thermal capacity, linear and volume expansion; transition temperatures. Electrical conductivity: Ohm's law. Primary and secondary metallurgy. Cast iron and steel production. Blast Furnace. Primary and secondary steel industry. Metalworking. Strengthening mechanisms. Work hardening and temperature effect. Grain size control. Strengthening for solid solution. Effect of alloying elements. Notes on wet and dry corrosion. Reduction potentials. Liabilities. Corrosion forms: thinning, pitting, stress corrosion cracking and selective corrosion. Corrosion of iron in a humid environment. Pourbaix diagrams. Outline of polarization curves. Corrosion protection methods: painting; galvanizing; anodizing; cathodic protection. Notes on the design and modification of the environment to reduce corrosion. State diagrams: equilibrium microstructures. Binary state diagrams: complete miscibility in liquid and solid state. Determination of the number of phases, their composition and subscription

examMode

The evaluation includes a written and an oral test. The written test will consist of a multiple-choice, free-field written paper and three questions aimed at ascertaining the student's theoretical and applicative knowledge and the ability to choose materials based on theoretical calculations for engineering projects.

books

W.D. CALLISTER “Scienza e ingegneria dei materiali. Una introduzione”, EdiSES.
BERTOLINI: 'Materiali da costruzione. Volume I ' Citta'Studi Edizioni
M. LUCCO BORLERA, C. BRISI: 'Tecnologia dei materiali e Chimica Applicata' Levrotto e Bella
W.F. SMITH, J.HASHEMI: 'Scienza e tecnologia dei materiali' McGraw-Hill,
V. ALUNNO ROSSETTI: 'Il calcestruzzo: Materiali e Tecnologia' McGraw-Hill,
A. R. WEST “Solid state Chemistry and its Applications”, John Wiley & Sons
W.F. SMITH & J. HASHEMI “Scienza e tecnologia dei materiali”, McGraw-Hill.
Dispense del docente

mode

The course consists of 48 hours of lectures and practical experience. The theoretical notions are explained to the students during the lectures by means of audio-visual aids and the blackboard. Students are provided with slides and teaching materials to support the lectures.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

W.D. CALLISTER “Scienza e ingegneria dei materiali. Una introduzione”, EdiSES.
BERTOLINI: 'Materiali da costruzione. Volume I ' Citta'Studi Edizioni
M. LUCCO BORLERA, C. BRISI: 'Tecnologia dei materiali e Chimica Applicata' Levrotto e Bella
W.F. SMITH, J.HASHEMI: 'Scienza e tecnologia dei materiali' McGraw-Hill,
V. ALUNNO ROSSETTI: 'Il calcestruzzo: Materiali e Tecnologia' McGraw-Hill,
A. R. WEST “Solid state Chemistry and its Applications”, John Wiley & Sons
W.F. SMITH & J. HASHEMI “Scienza e tecnologia dei materiali”, McGraw-Hill.
Dispense del docente

MODULE II - -- -
MICRO AND MACRO ECONOMICS

GIULIO GUARINI

First Semester6SECS-P/01ita

Learning objectives

A) TRAINING OBJECTIVES To provide the basic analytical tools to understand the functioning of the economic-financial system and the role of households, businesses, the state, banks and the rest of the world, presenting economic science as a social science characterised by a plurality of theoretical positions. B) EXPECTED LEARNING OUTCOMES 1. Knowledge and ability to understand: knowledge of economic theories and policies to understand the main issues of contemporary economics. 2. Ability to apply knowledge and understanding: learning the elementary tools for assessing the main critical issues and opportunities of an economy. 3. Autonomy of judgement: knowing how to identify the main relationships of the economic system in order to grasp its logic and explain it according to different theoretical approaches and with a critical capacity. 4. Communication skills: learning analytical rigour with the use of formulae and graphs and with the illustration of logical connections. 5. Learning ability: a condition for successful learning is the ability to independently and critically reconstruct introductory notions of political economy.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

WORK SAFETY

ANDREA COLANTONI

First Semester6AGR/09ita

Learning objectives

"RAINING OBJECTIVES: The teaching will be oriented towards solving problems, analyzing and assessing risks, planning suitable prevention and protection interventions, paying attention to in-depth analysis based on the different levels of risk.

EXPECTED LEARNING RESULTS

1) Knowledge and understanding (knowledge and understanding):
It will allow the acquisition of knowledge / skills to: - identify the dangers and assess the risks present in the workplace, including ergonomic and work-related stress risks; - identify the specific prevention and protection measures for the sector, including PPE, with reference to the specific nature of the risk and the work activity; - help identify adequate technical, organizational and procedural safety solutions for each type of risk.
2) Applying knowledge and understanding; possibility to apply knowledge in all work environments, with understanding of the technical and regulatory terms of workplace safety. Furthermore, ability to manage both training projects and technical assessments.
3) Autonomy of judgment (making judgments); Understanding if the technical and / or legislative settings have been carried out in a workmanlike manner within the company, and knowing how to manage the non-conformities present both from a technical and legal point of view.
4) Communication skills; Ability to relate also through the design of appropriate training courses.
5) Ability to learn (learning skills): verify learning also through work groups on specific topics.
Invia commenti
Cronologia
Salvate
Community
"

Teacher's Profile

courseProgram

Risk assessment such as:
a) prevention planning process;
b) knowledge of the business organization system as a basis for the identification and analysis of risks c) development of methods for controlling the effectiveness and efficiency of the safety measures taken over time.
• The system of relations: RLS, M.C., workers, employer, public bodies, suppliers, self-employed workers, contractors, etc. ..
• Communication management in different work situations,
• Methods, techniques and tools of communication,
• Management of business meetings and periodic meetings,
• Negotiation and management of trade union relations.
• Elements of understanding and differentiation between stress, mobbing and burn-out,
• Occupational consequences of the risks from these phenomena on organizational efficiency, on the safety behavior of the worker and on his state of health,
• Tools, methods and measures of prevention, • Analysis of didactic needs
• The safety management system: UNI-INAIL guidelines, integration and comparison with norms and standards (OSHAS 18001, ISO, etc.)
• The process of continuous improvement
• Integrated organization and management of technical-administrative activities (specifications, administrative paths, economic aspects).
• The ergonomic approach in organizing workplaces and equipment,
• The ergonomic approach in business organization,
• Organization as a system: principles and properties of systems.
• From risk assessment to preparation of information and training plans in the company (Legislative Decree 626/94 and other European directives).
• Sources of information on occupational health and safety.
• Methods for correct information in the company (meetings, specific working groups, conferences, information seminars, etc…).
Information tools on health and safety at work (circulars, posters, brochures, audiovisuals, notices, news, network systems, etc.).
• Elements of didactic design:
- analysis of training needs;
- definition of didactic objectives,
- choices of contents according to the objectives,
- teaching methodologies,
- systems for evaluating the results of in-company training.
Microclimate and risk assessment
Illumination and risk assessment

examMode

The examination takes place in the forms established by art. 23 of the University Didactic Regulations. In the evaluation of the test and in the attribution of the final grade, the following will be taken into account: the level of knowledge of the contents demonstrated, the ability to apply theoretical concepts, the ability to analyze, synthesize and interdisciplinary connections, the ability of critical sense and formulation of judgments, of the mastery of expression. The exam consists of an oral test. During the test, the level of knowledge acquired on the topics covered in the course, the ability of the candidate to critically apply this knowledge to the problems and case studies addressed, as well as the effectiveness and clarity in the presentation will be assessed.

books

Lecture notes and lecture notes (available online).

mode

----------------------------------------------

classRoomMode

in room on the didattic matertials in the whole program

bibliography

Lecture notes and lecture notes (available online).

RENEWABLE ENERGIES: PROCESS AND TECHNOLOGY

MAURIZIO CARLINI

First Semester6ING-IND/09ita

Learning objectives

"The fundamental objective of the ""Renewable Energy: Processes and Technologies"" course is to provide the student with the knowledge and technical and practical skills for the design and development of plant solutions aimed at producing energy that can be used for both civil and industrial purposes, also in relation to the renewable energy sector. The expected learning outcomes are the knowledge of both theoretical and practical notions associated with the energy cycle, the types of fossil fuels compared to those from renewable sources with obvious references to the dynamics of environmental pollution, biomass, biochemical processes of energy production (biochemical processes, in particular anaerobic digestion with biogas upgrading and thermochemical processes, in particular the gasification process), geothermal energy with low enthalpy plants, solar energy (both thermal and photovoltaic), bioliquids and biofuels, wind energy and hydroelectricity. In addition, the practical tools typically required in the context of the implementation / identification of strategies for integrated systems for the production of energy in the industrial sector (for example for sustainable industrial districts) will be discussed.
Therefore, the expected learning outcomes include the knowledge and development of a critical sense in terms of the ability to identify the parameters associated with the operation of the aforementioned equipment and systems in order to optimize their operation both in the sizing phase and in the activities (if possible) in relation to the requests of the final user, thus developing a critical sense from a technical point of view, as well as understanding the meaning of the technical terminology used in the renewable energy plant sector, in relation to technologies and processes. At the end of the course, the student will have practical and theoretical notions relating to the main types of plants for the exploitation of renewable energy sources, strengthening the skills already developed in the three-year degree course and having the ability to solve problems relating to issues, including new ones or which require multidisciplinary approaches, in any case deriving from the sector under study. At the end of the course, the student will be able to communicate their conclusions clearly and unambiguously to specialist and non-specialist interlocutors operating in the renewable plant engineering sector. In addition, the expected results include the student's development of a learning ability that allows him to deepen the issues addressed independently, adapting to the needs he will encounter in the workplace."

Teacher's Profile

courseProgram

48 hours Course, divided into the following topics:
Classification of fuels (2h).
Energy sources and RES (2h).
Environmental pollution (2h).
Energy balance (2h).
Biomasses (2h).
Anaerobic digestion and related exercise (4h).
Biofuels (2h).
Thermochemical processes and related exercise (4h).
Solar energy: solar thermal and PV plants and related exercise (4h).
Geothermal energy and related exercise (4h).
Wind energy and related exercise (4h).
Hydraulic energy and related exercise (4h).
Compound Parabolic Concentrators: applications and R&D activities (3h).
COMSOL Multiphysics case study (numerical simulation for engineering) (3h).
Theory and exercise final overview (6h).

examMode

The final mark is assigned by written test (n.2 RES plant sizing exercise and n.1 theory question to be answered). The minimum mark required to pass the exam is fixed to 18/30.

books

Slides and lecture notes.

mode

The course is based on both practical (exercises and plants sizing procedures) and theory lessons. Theoretical notions are illustrated to students during lectures, through audio-visual aids and the blackboard. During the course there will be exercises carried out on the blackboard for the sizing of the equipment and plant components as referenced in lecture notes. In terms of practical application, 3 hours are referred to multiphysics simulation by software of the processes and equipments as discussed by the exercises and lecture notes.

classRoomMode


The course will take place in person or remotely on an online platform, following the emergency and anti-COVID measures.

bibliography

Slides and lecture notes.

MODULE II - -- -
OTHER OPTIONAL SUBJECTSFirst Semester6ita
OTHER OPTIONAL SUBJECTSFirst Semester3ita
ADVANCED ENGLISH COURSE

SHULA MARY SWEENEY

First Semester3ita

Learning objectives

"EDUCATIONAL AIMS:
The course aims to develop language skills at an intermediate level (B2 in The Common European Framework of Reference for Languages), focusing on building grammatical and lexical foundations.

LEARNING OUTCOMES:
The student can:
- understand texts that consist mainly of high-frequency everyday or job-related language;
- understand the description of events, feelings, and wishes in personal letters;
- understand the main points of clear standard speech on familiar matters;
- enter into a conversation on topics that are familiar, of personal interest or pertinent to everyday life;
- connect phrases in a simple way in order to describe experiences and events, his/her dreams, hopes and ambitions;
- briefly give reasons and explanations for opinions related to scientific topics as well;
- write simple connected text on topics that are familiar or of personal interest;
- write personal letters describing experiences and impressions, and short stories sticking to specific hints.
"

TECHNIQUES FOR STUDYING THE PROPERTIES OF MATERIALS

CLAUDIA PELOSI

First Semester3CHIM/01ita

Learning objectives


"The fundamental objective of the Materials Science Laboratory course is to provide the student with knowledge of laboratory methods useful for the characterization of materials of interest in industrial engineering, such as metals and alloys, composites, polymers.
The expected learning outcomes are:
1) know the definitions of the main quantities in spectroscopy and in optical and electron microscopy;
2) know the principles and applications of the treated techniques: spectroscopy, optical and electronic microscopy, mechanical tests, hardness measurements, contact angle and other surface properties;
3) understand the meaning of surface and structural properties of materials;
4) understand the functioning of laboratory instruments for the characterization of materials and their chemical-physical and surface properties
5) understand the significance of the experimental results obtained with the above techniques
6) knowing how to apply the acquired knowledge to the study of a specific material among those covered in the course
7) autonomy of judgment in choosing the most appropriate method of analysis for a certain type of material
8) communication skills in presenting the topics covered
9) learning skills are assessed during the practical tests that take place within the course"

Teacher's Profile

courseProgram

Spectroscopic techniques for the investigation of metal materials. Characterization of the metal alloys. Spectroscopic methods for the study of polymers.
Optical and electronic miscopy techniques for the investigation of metals and metal alloys.
Durability evaluation for polymers based on artificial ageing tests.
Color measurements for evaluating the surface properties of materials and possible variations due to exposure to environmental factors.

examMode

The exam is based on an aptitude test that focuses on the entire program of the course and is aimed at evaluating the suitability for obtaining the 3 credits attributed to the course; to be admitted online booking is mandatory through the University portal.
The test consists of 15 multiple choice questions. These questions are drawn by a large group of questions (about 120) given to students at the end of the course.
The exam is considered passed if a minimum of 9 out of 15 correct answers are given.potential offered by diagnostics in the field of conservation and that he is able to plan an investigation plan in the case of a restoration.

books

William F. Smith, Javad Hashemi, Scienza e tecnologia dei materiali. con eserciziario, McGraw Hill, 2016
A. Napoli, C. Pelosi, V. Vinciguerra, Principi di analisi spettroscopica, Aracne editrice, Roma, 2016
Lecture notes provided by the teacher on Moodle platform

mode

The course includes classroom exercises on presentations relating to the instruments used for the characterization of the main materials of interest in materials science
The use of portable spectroscopic techniques is envisaged to characterize metal alloys and polymeric materials.
Hours dedicated to frontal teaching, necessary to explain the theoretical and operating principles of the instruments used in the practical part: 8.
Hours dedicated to practical part, in the classroom: 16

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the practical training in the classroom or remotely, when available.

bibliography

William F. Smith, Javad Hashemi, Scienza e tecnologia dei materiali, con eserciziario, McGraw Hill, 2016
William D. Callister Jr., David G. Rethwisch. Scienza ed Ingegneria dei Materiali, EdiSES, Napoli, ed. 2019

SUBJECTSEMESTERCFUSSDLANGUAGE
15677 - PHYSICS II

ILARIA ARMENTANO

First Semester 9FIS/01ITA

Learning objectives

The course aims to introduce students to the principles of Electromagnetism, Geometric Optics, Physical Optics, and Modern Physics, providing them with fundamental knowledge from both a theoretical and an experimental and logical deductive point of view. The course aims to apply the basic methodologies of Experimental Physics, developing the ability to identify the essential aspects of physical phenomena and the logical-critical skills that allow to propose and / or verify phenomenological models capable of describing them.
The course has the following educational objectives:
-knowledge and understanding of the essential aspects of the physical phenomena of electromagnetism and optics and the critical logic skills that allow you to propose and / or verify phenomenological models;
- knowledge and skills applied to general experimental problems such as measurement operations with analog and digital instruments (multimeters, signal generators, oscilloscopes) acquiring the knowledge to create and analyze some simple laboratory experiences;
- acquisition of the communication skills of the scientific method, and of the nature and methods of research in Physics;
- autonomy judgment: the student will have to develop skills capable of acquiring the ability to critically evaluate the relevant aspects of the physical phenomena that will be studied during the course;
- learning skills: at the end of the course the student will have developed the ability to autonomously consult a general physics textbook and to grasp the relevant aspects of a problem of electromagnetism, geometric optics, physical optics and modern physics.

Teacher's Profile

courseProgram

Electromagnetism
Electric charge. Insulation conductors. Coulomb's law. Electric field. Electric dipole. Action of a field on charges and poles. Electrical fields from continuous charge distributions. Gauss law in integral and differential form. Calculation of the electric field with the law of Gauss and considerations of symmetry. Potential. Electrical potential for point charges and continuous distribution of charges. Relationship between electric field and potential. Potential electrostatic energy. Capacity and capacitors. Dielectric. Electrostatic field energy. Circuits with batteries and capacitors (in series and in parallel). Electric current and charged motion. Power density and drift speed. Ohm's Resistance and Law. Energy in electrical circuits. Fem and batteries. Resistances in series and in parallel. Read kirchhoff. Single and multi-mesh circuits. Measurement tools: Amperometers, voltmeters and ohmmeters and applications. RC circuits. Magnetic field. Strength (of Lorentz) exerted by a magnetic field on charges and wires driven by current. Motion of a charge in a magnetic field. Applications: measurement (of Thompson) of q/m for the electron; mass spectrometer; cyclotron. Moments exerted on current coils and magnets. Energy of a magnetic dipole in a magnetic field. Hall effect. Earth's magnetic field. Magnetic field sources. Biot-Savart's Law. Magnetic field from current circulation in a wire, in a loop, in a solenoid. Magnetic force between wires. Gauss's law for magnetism. Ampere's law and its limitations. Magnetism of matter. Magnetization and magnetic susception. Paramagnetism, ferromagnetism and diamagnetism and applications. Magnetic induction. Fem induced and law of Faraday-Neuman -Lenz. It is a statement. Generators and engines and applications. Parasitic currents. Inductance. Self- and mutual-inductance. Magnetic energy. RL circuits. Alternate current circuits. Effective values. Alternating current in resistors, inductors and capacitors. Ballasts. Transformer. LC and RLC circuits without and with generator. Fasori. Resonance. Filters. Maxwell equations (in integral and differential form) and electromagnetic waves. Deriving the wave equation for electromagnetic waves. Electromagnetic radiation and its spectrum with applications. Production of electromagnetic waves, radiation of electric dipole. Energy and pulse of an electromagnetic wave. Poynting vector and radiation pressure.

Geometric and physical optics
Light and light propagation. Principles of Huygens and Fermat. Reflection and refraction. Snell's Law. Refraction index. Internal reflection: Dispersion. Polarization. Malus's Law. Polarization for reflection and diffusion. Consistent and inconsistent sources of light. Flat and spherical mirrors. Formations of images from mirrors. Equation of a mirror. Refraction image formations. Lenses. Thin, converging and divergent lenses. Image formations in such lenses. Equation of the lens manufacturer. Power of a lens. Equation of thin lenses and their conventions. System with slower. Aberrations. Optical instruments: the eye, the simple magnifier, the microscope, the telescope. enlargement. Eye defects and their correction. Interference and diffraction. Phase difference and consistency. Interference from two slits (Young). Interference in thin layers. Intensity of the fringes. Single-slit diffraction. Combined interference and diffraction. Use of fasori. Fraunhofer and Fresnel diffraction. Diffraction and resolution. Application to the human eye. Diffraction networks and their decisive power.

Modern physics
Crisis of classical physics and the birth of modern (quantum) physics. Law by Stefan-Boltzmann, of Wien of Rayleigh-Jeans. How many and Planck's law. Duality particle wave. Photoelectric and Compton effect. Heisenberg's principle of indeterminacy. De Broglie hypothesis. Electron interference and diffraction. Wave function and energy quantization in confined systems. Schrodinger equation Bohr model for hydrogen atom. Energies and rays of the orbits. Explanation of the spectral series. Quantum numbers. Organization of electrons in atoms.
The following (mandatory) Physics Laboratory II are also planned:
-Oscilloscope, multimeter, function generator, power supply. Safety standards.
-Experimental ohm law; circuits with resistancein series and in parallel.
-Experimental study of an RC circuit: charge and discharge a capacitor.
-Experience of geometric optics and physical optics.

examMode

Rules for the examination of PHYSICS II:
1) The exams take place in three sessions: winter session, summer session, autumn session.
2) The summer and winter sessions include three exams data, the autumn session two. Each exam data consists of a written test and an oral test.
3) To take the oral exam the mark obtained in the written test must be at least 18/30.
4) The validity of a written test passed to support the oral one is limited to the session in which it took place.
5) The student whose written exam has been assessed as insufficient will be able to take part in the next exam data of the same session, only if there is an interval of at least 25 days between the two written tests. This limitation does not exist if the student, deeming his written test insufficient, withdraws from the student by writing "WITHDRAWAL" on the letterhead.
6) During the two course, there are four laboratories whose frequency is mandatory to take the exam. Each laboratory involves the drawing up of a report concerning the type of experiment performed, which must be delivered at the end of the exercise itself. Each report is evaluated by a judgment (A: Excellent; B: good; C: sufficient; D: not enough).
7) The final grade of the exam will be based on the evaluation of the written test, the oral exam and laboratory reports.

books

-P.A. Tipler, G. Mosca, Vol. 2: “Elettricità Magnetismo Ottica” e Vol. 3: "Fisica Moderna", ed Zanichelli.
-P. Mazzoldi, M. Nigro, C. Voci: "Fisica Volume II" ed. Edises.
-R.A. Serway, J.W. Jewett, et al. "Fisica per Science ed Ingegneria 2" ed. Edises.

mode

The course is organized in theoretical classroom lessons (72 hours), with in the afternoon the analysis of specific problems and exercises on the subjects covered during the course and 4 practical laboratory (mandatory) that will take place in the teaching lab.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

-P.A. Tipler, G. Mosca, Vol. 2: “Elettricità Magnetismo Ottica” e Vol. 3: "Fisica Moderna", ed Zanichelli.
-P. Mazzoldi, M. Nigro, C. Voci: "Fisica Volume II" ed. Edises.
-R.A. Serway, J.W. Jewett, et al. "Fisica per Science ed Ingegneria 2" ed. Edises.

119633 - TECHINICAL PHISICS - 9- -

Learning objectives

The objective of the module is to provide the basic knowledge of thermodynamics, necessary for solving different application problems of industrial engineering. In the first part of the module, the first and second thermodynamics law will be stated after a brief introduction on basics concepts and definitions. Direct and reverse thermodynamic cycles will be then illustrated on the main diagrams. In the second part of the module some moist air aspects will be addressed. In particular, the main moist air characteristics will be studied in terms of properties and basic transformations, in order to properly design air conditioning systems. In addition to theoretical classes, practice exercises will be carried out on the addressed theoretical topics.
The Course will provide the basic concepts of heat transfer by conduction, convection and radiation necessary for solving different application problems of industrial engineering. Basic principles for acoustic design are also provided for both noise control and optimization of sound quality.

Knowledge and understanding:
To understand the basic principles of thermodynamic systems including power generation machines, moist air, reverse cycles. Know the methods of heat transfer by conduction, convection, radiation. To acquire basic knowledge on acoustics.
Applying knowledge and understanding:
By carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments:
To be able to apply the knowledge acquired to solve simple application problems in the fields of thermodynamics, heat transmission and acoustics.
Communication skills:
Knowing how to explain, both in written and oral form, the problem and possible solutions of simple situations concerning thermodynamics, heat transmission, moist air and acoustics.
Learning skills:
Knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the applications of Applied Physics.

MODULE II

MAURO SCUNGIO

Second Semester5ING-IND/10ita

Learning objectives

The objective of the module is to provide the basic knowledge of thermodynamics, necessary for solving different application problems of industrial engineering. In the first part of the module, the first and second thermodynamics law will be stated after a brief introduction on basics concepts and definitions. Direct and reverse thermodynamic cycles will be then illustrated on the main diagrams. In the second part of the module some moist air aspects will be addressed. In particular, the main moist air characteristics will be studied in terms of properties and basic transformations, in order to properly design air conditioning systems. In addition to theoretical classes, practice exercises will be carried out on the addressed theoretical topics.
The Course will provide the basic concepts of heat transfer by conduction, convection and radiation necessary for solving different application problems of industrial engineering. Basic principles for acoustic design are also provided for both noise control and optimization of sound quality.

Knowledge and understanding:
To understand the basic principles of thermodynamic systems including power generation machines, moist air, reverse cycles. Know the methods of heat transfer by conduction, convection, radiation. To acquire basic knowledge on acoustics.
Applying knowledge and understanding:
By carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments:
To be able to apply the knowledge acquired to solve simple application problems in the fields of thermodynamics, heat transmission and acoustics.
Communication skills:
Knowing how to explain, both in written and oral form, the problem and possible solutions of simple situations concerning thermodynamics, heat transmission, moist air and acoustics.
Learning skills:
Knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the applications of Applied Physics.

Teacher's Profile

courseProgram

1. Introduction, basic definitions;
2. Mass conservation principle;
3. First law of thermodynamics;
4. Second law of thermodynamics;
5. Gibbs equations, expansion work, mechanical energy equation, p-v and T-s diagrams, thermal irreversibility;
6. Thermodynamic states: p-T, p-v, T-s, h-s and p-h diagrams, ideal gas, incompressible liquid;
7. Ideal adiabatic transformation, polytropic transformation, superheated steam, biphasic liquid-aerial mixture;
8. Direct thermodynamic cycles: Carnot, Otto, Diesel, Joule, Rankine;
9. Reverse thermodynamic cycles: Carnot, Rankine;
10. Moist air: enthalpy, specific volume, specific and relative humidity, dew temperature, dry bulb and wet bulb temperatures, adiabatic saturation temperature;
11. Moist air: psychrometric diagram, simple cooling and heating, adiabatic mixing, cooling and dehumidification, heating and humidification, adiabatic humidification.

examMode

The exam includes a written test and an oral exam.
The written test consists in solving an exercise on one of the topics addressed in class between closed systems, thermodynamic cycles and moist air;

The oral test consists of a discussion of no longer than 30 minutes aimed at verifying:
- the knowledge of the theoretical methodological content of the course;
- the correct presentation of the applications proposed in the course;
- autonomy in proposing the most appropriate approach for each scope.

The oral exam will also test the student communication skills and his autonomy in the organization and exposure of the theoretical topics.
The final evaluation is carried out by the Commission as the average value of the written test and the oral exam.

books

Main:
A. Cesarano, P. Mazzei, Elementi di Termodinamica Applicata, Liguori
L. Bellia, P. Mazzei, F. Minichiello, Aria umida. Climatizzazione ed involucro edilizio. Teoria, applicazione e software, Liguori
Others:
Y. Cengel, Termodinamica e Trasmissione del Calore, McGraw-Hill
P. Brunello, Lezioni di Fisica Tecnica, EdiSES
P. Mazzei, R. Vanoli, Fondamenti di Termodinamica, Liguori
M.A. Cucumo, V. Marinelli, Termodinamica applicata, Pitagora
G. Moncada Lo Giudice, Termodinamica applicata, Casa Editrice Ambrosiana

mode

The module is divided between theoretical lessons (28 hours) and exercises (12 hours). The theoretical lessons are mainly provided on the board.
The exercises are related to the solution of problems based on the theoretical principles addressed in the lessons.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

Main:
A. Cesarano, P. Mazzei, Elementi di Termodinamica Applicata, Liguori
L. Bellia, P. Mazzei, F. Minichiello, Aria umida. Climatizzazione ed involucro edilizio. Teoria, applicazione e software, Liguori
Others:
Y. Cengel, Termodinamica e Trasmissione del Calore, McGraw-Hill
P. Brunello, Lezioni di Fisica Tecnica, EdiSES
P. Mazzei, R. Vanoli, Fondamenti di Termodinamica, Liguori
M.A. Cucumo, V. Marinelli, Termodinamica applicata, Pitagora
G. Moncada Lo Giudice, Termodinamica applicata, Casa Editrice Ambrosiana

MODULE II

DANIELE GROPPI

Second Semester4ING-IND/11ita

Learning objectives

The module intends to provide the basic notions of heat exchange by conduction, convection and radiation necessary to address numerous application problems, in the field of building physics, in the industrial engineering sector. The basic criteria for lighting design are also provided.

Knowledge and understanding: To understand the basic principles of conduction-convection-radiation heat transfer modes and to acquire the basic knowledge of lighting engineering.
Applied knowledge and understanding: Through the development of case studies, the student will be encouraged to develop an application capacity on the methodologies and techniques acquired.
Making judgements: Being able to apply the acquired knowledge to solve simple application problems in the field of heat transmission and lighting technology.
Communication skills: Knowing how to explain, both in written and oral form, the problem and possible solutions to simple situations concerning the transmission of heat and lighting technology.
Learning ability: Knowing how to collect information from textbooks and other materials for the autonomous solution of problems related to applications of Technical Physics.

Teacher's Profile

courseProgram

The module will cover the following topics:
- Introduction to heat transfer methods: conduction, convection, radiation. Thermal fields and Fourier's postulate.
- Fourier equation. Flat wall in stationary regime. Multilayer flat wall in stationary regime. Contact thermal resistances
- Description of the convection phenomenon. Natural and forced convection. The mechanical boundary layer and the thermal boundary layer. The convection coefficient.
- The calculation of the convection coefficient. The dimensionless numbers meaning and relationships for specific geometric configurations
- The properties of radiant energy. Emission and absorption properties of bodies. Kirchhoff's principle and the black body. The laws of the black body.
- Radiative properties of bodies. Facing parallel planes that exchange heat by radiation and radiation shields. Adduction
- Transmittance of a wall and a multilayer wall. Walls with cavity. Opaque wall exposed to sunlight. Glass wall exposed to solar radiation.
- Photometry, vision phenomenon, photometric quantities, visibility curve.
- Light sources: classification of sources and characteristic parameters. Incandescent lamps, gas discharge lamps, LED lamps.
- Natural light and design principles for enclosed spaces.

examMode

The exam includes a written test and an oral exam.
The written test consists in solving an exercise on one of the topics addressed in class;

The oral test consists of a discussion of no longer than 30 minutes aimed at verifying:
- the knowledge of the theoretical methodological content of the course;
- the correct presentation of the applications proposed in the course;
- autonomy in proposing the most appropriate approach for each scope.

The oral exam will also test the student communication skills and his autonomy in the organization and exposure of the theoretical topics.
The final evaluation is carried out by the Commission as the average value of the written test and the oral exam

books

- Moran M.J., Shapiro H.N., Boettner D.D., Bailey M. B., Munson B.R., DeWitt D.P. - Elementi di fisica tecnica per l'ingegneria – McGraw-Hill Education
- M. Felli – Lezioni di Fisica Tecnica 2 – Ed. Morlacchi.

mode

The course will happen in a traditional way with classroom lessons with the use of power point presentation

classRoomMode

Attendance is optional but is strongly recommended

bibliography

- Moran M.J., Shapiro H.N., Boettner D.D., Bailey M. B., Munson B.R., DeWitt D.P. - Elementi di fisica tecnica per l'ingegneria – McGraw-Hill Education
- M. Felli – Lezioni di Fisica Tecnica 2 – Ed. Morlacchi.

17874 - MECHANICS OF SOLIDS

PIERLUIGI FANELLI

First Semester 6ICAR/08ITA

Learning objectives

The course will introduce students to the principles of rational mechanics, rigid body mechanics. The course aims to give the basic knowledge of continuous mechanics, providing the tools for application in mechanical engineering. The course introduces students to the solving of the elastic problem for rigid and deformable bodies.

EXPECTED LEARNING RESULTS
- Knowledge and Understanding Capabilities: Have developed the knowledge of the principles of rational mechanics, rigid body mechanics.
- Applying Knowledge and Understanding: Know how to apply the principles of rational mechanics for solving the elastic problem.
- Making Judgment: To be able to interpret solution results.
- Communication Skills: Being able to describe scientific issues related to rational mechanics, rigid body mechanics.
- Learning Skills: Being able to describe scientific issues related to rational mechanics, rigid body mechanics. This skill will be developed through the active involvement of students through oral class discussions and exercises written on specific topics related to the course.

Teacher's Profile

courseProgram

- Systems of applied forces and equilibrium conditions. Infinitesimal rigid displacement field. Theorem of virtual work for rigid bodies. Definition, static and kinematic aspects and multiplicity of constraints.
Structural mechanics: Elements of Rigid Structures Mechanics.
Introduction to plane structures and setting of the static problem.
Compatibility problem of structures.
Centers of relative and absolute displacement: definition, relation constraints-centers , theorems of alignment.
The fundamental relationship between lability, hyperstaticity, constrain multiplicity and the number of rigid bodies.
Theorems of displacements and forces for virtual rigid structures.
The characteristics of the stress in the structures and indefinite equations of equilibrium.
Elements of graphical static.
Static of trusses: definition and static analysis methods.
Structural mechanics: Elements of Mechanics deformable Structures.
Technical theory of the beam: the models of Euler-Bernoulli and Timoshenko. Equations of the elastic line.
Inelastic effects and thermal distortions on the structures.
Analysis of statically indeterminate structures: the force method.
The theorem of virtual work for the analysis of deformable structures.
Geometry of areas.
Kinematics: kinematic structure of mechanisms.
Kinematic pairs and classification criteria.
Calculation of degrees of freedom in a mechanism.
The equations method of closure.
Analysis of the configurations.
Matrix method for the calculation of g.d.l.
Reminders of the main relationships between speed and acceleration in rigid motions.
The method of polar diagrams.

examMode

The assessment will focus on a written test of an applicative nature that consists of the resolution of exercises, and an oral test that will evaluate the student's theoretical preparation, and the evaluation of exercises and an optional practical test.
During the course will be carried out exercises of both applicative and in-depth and integrative of the program.
During the course the teacher will assign the optional personal exercises that the student will be able to show during the oral examination and which will be worth an additional evaluation (+ 3 / -3 points) on the grade of the written exam.

books

- Paolo Casini,Marcello Vasta - Scienza delle Costruzioni - CittàStudi

mode

Classroom lectures, presentations with graphic illustrations.
Individual works.
Classroom exercises.
At distance: moodle, google docs.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

- Timoshenko - Strength of Materials, Part I and II - D. Van Nostrand Company
- Belluzzi - Scienza delle costruzioni - Zanichelli
- Viola - Esercitazioni di Scienza delle Costruzioni, volumi 1 e 2 - Pitagora Editrice Bologna
- Scotto Lavina - Lezioni di meccanica applicata alle macchine – Siderea
- Corradi Dell'Acqua - Meccanica delle strutture 1 - McGraw-Hill
- D'Acunto - Massarotti - Meccanica razionale per ingegneria - Maggioli Editore

119890 - FLUID MECHANICS

STEFANO MELONI

First Semester 6ING-IND/06ita

Learning objectives

"The objective of the first module is the comprehension of the basic physics involved in Newtonian fluid flows:
- Provide the theoretical and analytical bases for understanding basic flow physics relevant in engineering.
- Provide methods and instruments for the design of the flow field.

Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments useful fluid dynamics engineering applications.(Dublin descriptors 1 and 5)
- Capacity of utilizing the methodologies for the design of simple components, systems and fluid dynamic processes (Dublin descriptors 2 and 3)"

Teacher's Profile

courseProgram

The physical properties of fluids: general information on solids, liquids and gases - continuum hypothesis - volume and surface forces - classical thermodynamics - transport phenomenon - properties of liquids - viscosity and stress - vapor pressure - surface tension - capillarity

Review of tensor algebra: vectors and tensors - operations between tensors - Kronecker and Ricci operators - properties of tensors - eigenvalues and eigenvectors - Green and Stokes theorems

Fluid kinematics: velocity gradient tensor - material derivative - Lagrangian and Eulerian description - trajectories, streamlines, and flux lines - classification of motions

Equations of fluid mechanics: Reynolds theorem - conservation of mass - momentum balance - stress tensor - Cauchy tetrahedron - momentum balance - constitutive equations - Navier-Stokes equations - mechanical energy equation - first law of thermodynamics - thermal energy balance - Fourier relation - Bernoulli's theorem (Pitot tube, Venturi tube) - entropy balance

Advanced fluid mechanics: vorticity dynamics - exact solutions of the Navier-Stokes equations - boundary layer and turbulence - outline of aerodynamic forces and compressible flows

Fluid Mechanics Equations: Formulate fluid mechanics equations for hydraulic systems

Hydrostatics: distribution of pressures - thrusts - pressure gauges
Ulteriori informazioni su questo testo di originePer avere ulteriori informazioni sulla traduzione è necessario il testo di origine
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examMode

The exam is made up of a written and oral test. It will last from 2 to 3 hours and it will composed by 2 practical problems/exercises focusing on the main topics of the programme (Kinematics, Statics, Dynamics, Similarity) and a theoretical "open answer" question.
The test is condidered passed with an evaluation of above 18/30 and it will be averaged with the oral test mark.
The oral test aims to evaluate the level of knowledge of the students and their level of in-depth analysis of the topics presented throughout the course.

books

Lecture notes from "Lezioni del corso di fluidodinamica", R. Camussi

classRoomMode

Class attendance is optional

bibliography

"Meccanica dei Fluidi", Y. A. Çengel e J. M. Cimbala, McGraw-Hill, 2011.
"Meccanica dei Fluidi - principi e applicazioni idrauliche", E. Marchi e A. Rubatta, UTET, Torino 1981.

15682 - ENERGY MACHINES AND SYSTEMS

ANDREA LUIGI FACCI

Second Semester 9ING-IND/08ita

Learning objectives

The objective of the module is the comprehension of the basic working principles of fluid machinery :
- Provide the theoretical and analytical bases for understanding energy exchange processes in turbo machinery
- Provide methods and instruments for the design and choice of pumps and compressors and expanders.

Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments necessary for the understanding of the turbo machinery functioning.(Dublin descriptors 1 and 5)
- Capacity of utilizing the methodologies for the design of elements of compressors, pumps, and expanders (Dublin descriptors 2 and 3)

Teacher's Profile

courseProgram

0) Fluid machinery classification
1) Fluid motion within rotors
a) absolute and relative reference frames
b) Euler equation
c) Rotor work as energy variation
d) Flow-work relation
2) Dimensional analysis in torbomachinery
3) Pumps
a) basic elements
b) performance parameters
c) Statistic diagrams
d) Reaction rate
e) Centrifugal pumps (velocity triangles and blade shape, diffuser, volute)
f) Axial pumps (velocity triangles and blade shape, diffuser, radial equilibrium)
4) Hydraulic turbines
5) Wind Turbines
6) Compressible flow turbines
7) Inserting the machine in the circuit
a) Characteristic curves
b) Parallel and series of pumps
c) flow control
d) cavitation

examMode

The exam consists of an oral and a written part. The fulfillment of the written part is mandatory for the subsequent oral part.

The written test contains numerical applications relative the relevant part of the course program, and is intended to evaluate the students' capability to use the methodologies to design turbines and energy systems. Methodology, numerical results, and presentation will determine the mark. The minumum mark to access the oral part is 15/30.

The oral test evaluate the level of confidence of the student with the theoretical foundations of the course (superficial, appropriate, precise, complete, complete and thorough).

The final mark is the average of the written and oral part marks.

books

1) V. Dossena, G. Ferrari, P. Gaetani, G. Montenegro, A. Onorati, G. Persico, MACCHINE A FLUIDO, CittàStudiEdizioni
2) S. Larry Dixon, Cesare Hall Fluid Mechanics and Thermodynamics of Turbomachinery

mode

Lessons and exercises

classRoomMode

Lessons and exercises

bibliography

Teaching materials provided by the lecturer.

119626 - MACHINES DRAWING

MARCO MARCONI

Second Semester 9ING-IND/15ita

Learning objectives

SUMMARY OF THE OBJECTIVES
The course aims to provide to the students the following learning outcomes:
- to be able to read a technical drawing of a component, part or assembly, correctly interpreting the information contained in the orthogonal views, dimensioning, title block, bill of materials, and all the adopted symbols
- to be able to realize component, part or assembly draft with the related dimensioning indications, following the standards
- to be able to recognize and describe the most common components used in mechanical products and machines
- to be able to use geometrical modelling tools for virtual representations of parts/assemblies
EXPECTED LEARNING OUTCOMES
1. Knowledge and understanding: to know the relevant technical drawing standards; to know the technical drawing graphical conventions; to know the most relevant mechanical organs and component; to know the geometrical modelling techniques
2. Applying knowledge and understanding: to be able to correctly interpret views in projection/section; to be able to interpret graphical conventions and symbols used in technical drawings; to be able to realize technical drawings of mechanical components and assemblies; to be able to realize 3D models of simple parts/assemblies
3. Making judgements: to be able to correctly set a technical drawing; to be able to correctly choose the most appropriate views; to be able to choose the most proper geometrical modelling strategy
4. Communication skills: to demonstrate expertise on subjects related to technical drawing; to know and be able to correctly use the language and terminologies to communicate graphically, orally, in written form or virtually a technical drawing or a geometrical model
5. Learning skills: to be able to autonomously use tools and standards related to technical drawing and geometrical modelling

Teacher's Profile

courseProgram

- Introduction to mechanical drawing
- Standardization and unification
- Representation methods
- Orthogonal projections
- Sections
- Dimensioning
- Geometrical product specifications
- Dimensional
- Geometrical Tolerancing
- Surface quality
- Threads and threaded organs
- Guides
- Joints
- Mechanical transmissions
- Modelling and representation techniques for solid bodies
- Geometrical modelling tools

examMode

The exam will be organized in two different tests:
- a written exam about the realization of a dimensioned sketch of a mechanical component or assembly and/or the ralization of a geometrical models, aimed at evaluating the acquired knowledge, the capacity to use this knowledge and the student autonomy
- an oral exam to verify the theoretical preparation of students about all the topics of the course and the capacity to communicate the acquired knowledge

books

- Chirone E., Tornincasa S., 2014, “Disegno Tecnico Industriale”, Vol. 1 e 2, Edizioni il capitello
- Teaching materials distributed by the teacher

mode

Frontal lessons: 45 hours
Exercises: 27 hours

classRoomMode

The attendance is optional

bibliography

- Manfè G., Pozza R., Scarato G., 2001, “Disegno Meccanico”, Vol. 1 – 2 – 3, Principato Editore
- Carfagni M., Governi L., Furferi R., Volpe Y., 2015, “Esercizi di Disegno Meccanico”, Zanichelli
- UNI and ISO technical standards
- Bordegoni M., Rizzi C., 2011, "Innovation in Product Design: From CAD to Virtual Prototyping", Springer, 1st Edition.
- Goldman R., 2009, "An integrated Introduction to Computer Graphics and Geometric Modeling", CRC Press.

18331 - ELECTROTECHNICAL ENGINEERING

GIUSEPPE CALABRO'

Second Semester 9ING-IND/31ITA

Learning objectives

Learn the methodologies necessary for the analysis of DC lumped parameter electric circuits. Acquire the basic knowledge required for the analysis of single-phase and three-phase sinusoidal electric circuits and magnetic circuits. Provide the fundamentals of electrical machines and electrical systems in general.
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Teacher's Profile

courseProgram

Electromagnetic fields. Main vector operators. Basic definitions. Maxwell equations in integral form. Electrostatics. Laplace and Poisson equations. Capacitors. Lumped parameters electric circuits. Kirchhoff’s laws. Main circuit components: resistors, inductors, capacitors, independent voltage and current generators. Stationary regimes. Resistances in parallel and in series. Delta-wye transformation. Methods of analysis of electrical circuits. Kirchhoff equations method. Nodal analysis. Mesh analysis. Effect superposition principle. Tellegen, Norton and Thevenin theorems. Study of transients. RC, RL, RLC circuits. Definition of the initial conditions for the analysis of transients, I and II order. Solution of I and II order transient circuits. Sinusoidal regimes. Ohm symbolic law and concept of impedance. Kirchhoff symbolic laws. The symbolic method for the analysis of electric circuits in sinusoidal regimes. Power in sinusoidal regime. Three phase systems.. Power in a three phase system. Magnetostatics. Magnetic properties of matter, diamagnetic, paramagnetic and ferromagnetic materials, magnetic circuits, self and mutual induction coefficients. Hopkinson’s law. Electrical machines. Principles of electro-mechanical conversion of energy. Loss phenomena in electrical machines. The transformer. Working principle. Field hypotheses. Internal and external equations. Equivalent circuits. Transformers working in open circuit and short circuit. Measurement of the efficiency. Rotating magnetic field. Induction machines. Working principle. Internal and external equations. Equivalence theorem. Mechanic and electro-mechanic characteristics. Synchronous machines. Working principle. Internal and external equations. Power systems. Converters AC/DC and DC/AC, diode, BJT and thyristor.

examMode

The exams will concern the topics of the course program.The complete exam consists of a written test and an oral exam. The written test consists of three exercises concerning: DC or AC Electrical Circuits, Transients in Electric Circuits, Three Phase Networks and Magnetic Circuits. The time available to the written exam is approximately 2 hours. During the written tests, the use of any didactic materials (books, lecture notes) is allowed. The use of a calculator is also allowed, but only for the solution of exercises. To gain access to the oral exam, the candidates must reach a mark greater than or equal to 18/30. Finally, a joint homework will be also assigned during the course and will be discussed during the oral examination.
The written test is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral exam is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n° 1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral test also aims to verify students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n° 4).

books

Lecture Notes and presentations
Giulio Fabricatore, Elettrotecnica e applicazioni, Liguori Editori, 1994
Luigi Verolino, Introduzione alle reti elettriche, EdiSES, 2013
Maurizio Repetto, Sonia Lea, Elettrotecnica. Elementi di Teoria ed Esercizi svolti, Città Studi Editore, 2014

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

Lecture Notes and presentations
Giulio Fabricatore, Elettrotecnica e applicazioni, Liguori Editori, 1994
Luigi Verolino, Introduzione alle reti elettriche, EdiSES, 2013
Maurizio Repetto, Sonia Lea, Elettrotecnica. Elementi di Teoria ed Esercizi svolti, Città Studi Editore, 2014

SUBJECTSEMESTERCFUSSDLANGUAGE
15838 - OPTIONAL SUBJECT

First Semester 6ita
15774 - THERMAL AND MECHANICAL MEASUREMENTS

STEFANO ROSSI

First Semester 9ING-IND/12ITA

Learning objectives

Educational aims:
The main objectives of the Mechanical and Thermal Measurements course is to give the student the knowledge of both the right metrological terms that have to be used and the working principle of the main measurement devices, investigating which is their design and the pros and cons of each sensor.

Expected learning outcomes:
Knowledge and understanding: understanding of the definitions of static and dynamic metrological characteristics; knowledge of the definitions of measurement units; knowledge of the probability distributions in order to be able to define the uncertainty; understanding of the working principle of mechanical, thermal and electric instruments.

Applying knowledge and understanding: understanding of the right scientific and methodological approach to the measurements; learning to independently perform a calibration procedure evaluating the calibration uncertainty; understanding the consistent of results applying a statistic approach; learning to perform a dynamic characterization of measurement instruments.

Making judgements: the student will be able to understand the experimental results gathered from calibration and measurement procedures; knowing how to choose the best instruments that has to be used as a function of the required measurements.

Communication skills: the student will be able to report on the performed experiments and to read and write both calibration reports and datasheets.

Learning skills: the ability to use the learned methodological accuracy in different measurement fields than those studied in the present course.

Teacher's Profile

courseProgram

Detailed Program:
The course is subdivided into eight didactical units and experimental trials that are reported in the following:
1. Metrology (12 hours): Measurement procedures, Measurement unit systems, Sensors, Static and Dynamic characteristics of measurement systems, Influence quantities, design of experimental setup; Experience on first order instruments, Experience on second order instruments.
2. Calibration and statistics (12 hours): Gauss probability distribution, standard deviation, statistical inference tests, confidence, guide to the expression of uncertainty in measurement, type A and type B uncertainty, propagation of uncertainties and distributions; Experience on potentiometer calibration.
3. Operational amplifiers and Filters (10 hours): inverting amplifier, non-inverting amplifier, ideal and real amplifier, instrumentation amplifier, low-pass filter, high-pass filter, bandwidth filter, Notch filter; Experience on operational amplifiers.
4. Electrical measurements (6 hours); Galvanometer, amperometer, clamp meter, voltmeter, Wheatstone Bridge, resistance measurements.
5. Thermal measurements (10 hours): Thermal measurement units, Platinum thermometer, thermistor, thermocouple, chemical thermometer, ultrasound thermometer, calibration; Experience on thermal measurements.
6. Strain, Force and Pressure measurements (10 hours); Strain gauge, load cell design, tension, bending and shear load cell, multi-component load cell, torquemeter, load cell calibration, manometer, vacuometer, pressure sensor calibration; Experience on load cells.
7. Dimensional, displacement, and velocity measurements (6 hours): ruler, caliper, micrometer, bore gauge, gauge block, CMM, potentiometer, LVDT, Encoder, laser scanner, speedometer.
8. Viscosity and flow measurements: viscometers, flow meters, Venturi meter, Pitot-tube, hot-wire anemometers.

examMode

The level of the acquired knowledge and the ability to clear explain the learned arguments are assessed by means of oral and written exams. The written exam is composed by questions to assess the theoretical knowledge of the student. During the oral exam, the student's reports on laboratory experiences. The final grade is evaluated by the average between the oral and written grades. Plus/minus three points will be added from a global evaluation of the non-obligatory reports on laboratory experiences.

books

E. O. DOEBELIN Measurement Systems: Application and Design , Mac Graw Hill

mode

The Mechanical and Thermal Measurements course is divided into eight didactical sessions and it is articulated in 60 hours of frontal lessons and 12 hours of experimental sessions. The theoretical knowledge are reported to the students by means of frontal lessons, audiovisual and multimedia materials. The laboratory experiences consist of a first theoretical part and an experimental one where students are totally involved in the acquisition and analysis of measurement system outputs.

classRoomMode

Attendance of the course is optional

bibliography

E. O. DOEBELIN Measurement Systems: Application and Design , Mac Graw Hill

15692 - FUNDAMENTAL OF MACHINE DESIGN

PIERLUIGI FANELLI

First Semester 9ING-IND/14ITA

Learning objectives

The course will introduce students to the principles of mechanical design. The course aims to consolidate and broaden the basic knowledge of continuous mechanics, providing the tools for application in mechanical engineering. The course introduces students to the design of simple, mono-dimensional mechanical elements of common engineering interest and gears.

EXPECTED LEARNING RESULTS
- Knowledge and Understanding Capabilities: Have developed the knowledge of the principles of mechanical design and technical drawing. Knowledge of the principles of: continuous mechanics, static design and fatigue.
- Applying Knowledge and Understanding: Know how to apply the principles of static design and effort to mono-dimensional mechanical elements, gears and speed variators elements dimensioning.
- Making Judgment: To be able to interpret sizing results and to prepare the structural optimization of it.
- Communication Skills: Being able to describe scientific issues related to mechanical design in written and oral form.
- Learning Skills: To be able to describe scientific issues related to mechanical design and technical drawing in written and oral form. This skill will be developed through the active involvement of students through oral class discussions, exercises written and the elaboration of a group project on specific topics related to the course.

Teacher's Profile

courseProgram

The problem of De Saint Venant. Setting and solution. Simple stresses : normal stress, bending, biaxial bending, compression bending, torsion, shear. The criteria of resistance to brittle and ductile materials: the elastic limit.
Design methods. Pre-design of structural components. Static checks, deformability checks, fatigue checks. Stress: Calculation in one-dimensional elements. Tensile, bending and torsion stresses in one-dimensional elements. Coefficient of stress concentration Kt.
Materials: Mechanical characterization of materials. Fatigue: Fatigue resistance in absence of defects, trigger mechanisms and propagation.
Transmissions: Classification of gear transmissions.
Features of involute profiles. Modular proportioning. Calculation of thickness of the tooth. The interference and methods for its elimination.
Function of a mechanical power transmission. Principle relations: transmission ratio, power, torque, efficiency, etc.
General information on the design of the gears. Involute teeth correction. Loads on shaft from Cylindrical spur gears and helical gears.
Strength calculation of gears: bending of the teeth. General information about the strength calculation of gears and load distribution on teeth pairs.

examMode

The evaluation will focus on a written test of applicative character which is articulated on the resolution of exercises, and on an oral test which instead will evaluate the theoretical preparation of the student, and on the evaluation of exercises and an optional practical test.
During the course practical and practical exercises will be carried out.
During the course the lecturer will assign optional personal exercises that the student will be able to show during the oral exam and that will be worth an additional assessment (+ 3 / -3 points) on the mark of the written exam.
The group practical test (max 3 people) will be optional and is aimed at ascertaining the ability to apply the concepts developed in class within a complex and organic project (eg design of a speed reducer and its load) , to use design tools (eg calculation codes) and to collaborate profitably within a work group. The methodological accuracy, the numerical results, the clarity and completeness of the presentation and the general quality of the paper will contribute to the formation of the practical test mark.
The final grade consists of 1/3 of the written test, 1/3 of the mark of the practical test and 1/3 of the vote of the oral test. In the absence of a practical test, the mark will be composed of 1/2 by the vote of the written test and by 1/2 by the vote of the oral test.

books

- Juvinall, Marshek - Fondamenti di costruzione di macchine - Editore: CittàStudi
- Giovannozzi, Costruzione di macchine, Patron

mode

Classroom lectures, presentations with graphic illustrations.
Individual works.
Classroom exercises.
At distance: moodle, google docs.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

- Timoshenko - Strength of Materials, Part I and II - D. Van Nostrand Company
- Henriot, Ingranaggi, trattato teorico e pratico, Vol. I con Tavole, 2a Ed., Tecniche Nuove, Milano

15683 - MECHANICS TECHNOLOGIES

GIANLUCA RUBINO

First Semester 9ING-IND/16ITA

Learning objectives

The student will have to acquire precise knowledge of the most commonly used technologies and processing systems in the industrial sector. In particular he will have to develop the ability to analyze machining technologies, choose the most suitable technologies, choose machining tools, define machining parameters and define a machining cycle.
Expected learning outcomes:
1) Knowledge and understanding:
Knowledge of different types of machining and their application areas.
2) Applying knowledge and understanding:
Knowledge of the main problems of production processes and the identification of material-process-product relationships.
3) Judgement autonomy.
Prediction of the mechanical behavior according to the used manufacturing techniques.
4) Communication skills:
Dimensioning of simple manufacturing processes, as chip removal operations, programming in machine language.
5) Learning skills:
Successful condition in learning is the ability to rebuild independently, without mnemonic repetitions, the basic notions of the various manufacturing processes for mechanical components.

Teacher's Profile

courseProgram

References to the main properties of the materials with a technological interest. The mechanical and technological tests according to the workability of metallic materials.
Surface technology: dimensional and surficial metrology, tribology.
Manufacturing processes by merger. Ingot: life, defects, typical structure. Continuous casting. Transient form casting. Solidification and final structure of the metallic alloys. The thermal size reduction. Directional solidification. Sizing of power systems. Range action of sprues. Coolers. Recovery and residual thermal stresses. Process tolerances. Allowances. Fillet radii. Techno-economic aspects of foundry processes.
Machining by chip removal. Chip forming. Classification of chip removal machining. Turning: the structure of the machines, types of work, equipment, cutting cross-section, forces and powers cutting, roughness. Drilling: the structure of the machines, types of tools, real rake angles.
Processing by plastic deformation. Plastic behavior of metals. Criteria of plasticity. Permanent deformations. Deformation work. Forging and stamping: general notes, forces, work, machines. Lamination: general notes, computing elements on the lamination, length of rolling, conditions of entrance, rolling speed, section neutral, rolling forces, torque and power, lamination pressure, enlargement of flat-rolled, rolling of sections, the machines structure. Extrusion: general, extrusion dies, extrusion forces. Wire drawing: general; drawing forces, work, dies.
Welds. Autogenous and heterogeneous, oxyacetylene flame welding, arc welding, controlled atmosphere welding, resistance welding. Unconventional welding techniques. Defects and fracture of welded joints. Mechanical properties of welded joints.

examMode

A written exam, with 6 theory questions and 3 exercises, those answers determine the passage to the oral examination. Who receive a positive evaluation, at least 15 of 30, is admitted to the oral examination (required for passing the overall exam).
The oral examination starts with the discussion about the writing, with a subsequent assessment of the preparation on all program parts. Normally, the oral exam takes place two or three days after the positive evaluation of the written exam.
The exam tends to check that the student has become familiar with the manufacturing processes of metal components and, for this purpose, there are questions about hypothetical manufacturing cycles of real mechanical components, which are not necessarily treated in a specific lesson. In this way it is possible to evaluate the degree of obtained familiarity with the manufacturing processes and the mechanical characteristics deriving from production cycles.

books


Serope Kalpakjian, Manufacturing Engineering and Technology, editore Addison-Wesley Publishing Company.

mode

The course is divided into 64 hours of lectures and 8 hours of classroom practice. The theoretical notions are explained to the students during the lectures, by means of audio-visual aids and the blackboard. During the exercises the student will apply the theoretical notions to case studies related to the topics addressed during the course.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography


Serope Kalpakjian, Manufacturing Engineering and Technology, editore Addison-Wesley Publishing Company.

MODULE II - -- -
INDUSTRIAL ECONOMICS AND MANAGEMENT

VINCENZO SFORZA

6SECS-P/07ita

Learning objectives

EARNING OUTCOMES: The course aims to provide an essential preparation on the conditions of existence of business administrations, the criteria governing their conduct, and the tools for measuring their results.
KNOWLEDGE AND UNDERSTANDING: At the end of the course the student must demonstrate that she/he has learned both issues of a mainly theoretical nature - regarding the company, its functioning and the relationship it establishes with its general and task environment - as well as operational issues, related to the estimation of income and book value.
APPLYING KNOWLEDGE AND UNDERSTANDING: The student must be able to recognize the various types of companies, to understand the roles of the people who work there and identify the parts that make up their structure. Furthermore, the student must be able to quantify the effect that the main management operations have on the capital, on the result of the period and on the internal equilibrium.
MAKING JUDGEMENTS: At the end of the course, the student will be able to understand the company and its functioning as well as the opportunity to undertake certain management operations in relation to the effects that the main management operations have on the qualitative and quantitative composition of the capital and the result. financial year and, more generally, on internal balances.
COMMUNICATION SKILLS: Knowledge of the general and operational part of the course will allow the student to acquire the technical language of the subject.
LEARNING SKILLS: At the end of the course, the student will be able to understand the basic issues of business economics that will allow her/him to read documents or participate in debates with business content.

Teacher's Profile

courseProgram

The course is structured in two parts (general and applied). The first part focuses on analyzing the characteristics of company operations, their structures, and the specific conditions that shape their institutional and managerial structures. The second part introduces the student to the application of the basic concepts to different business contexts and acquiring technical tools that will equip learners to evaluate business performance.

GENERAL SECTION
The economic entity on the objective and subjective level

• The origin of business administration: needs, goods, and value
• Meaning, evolution, and interpretation of the business administration concept
• The conditions of existence, the characters of the business administration, and its classifications
• The function of the business administration, its aims, and management
• Business activities and organisation
• The subjects within the business administration: legal and economic subjects
• Strategies

OPERATIONAL SECTION
The economic and financial dimensions of management
• The notion of corporate assets, liabilities, and equity
• Qualitative and quantitative analysis of the corporate net assets
• The accrual basis and the cash basis of accounting
• The different measures of the capital under the hypotheses of going concern and liquidation
• The analysis of the profitability and of liquidity of the firm using the ratios
• Cost accounting
• The financial dimension of the business management (Requirement assessment, self-financing, cash flow)

examMode

The exam is written and oral.
The written test includes the following verification:
- knowledge of the general section of the course using open and closed questions (10 points)
- knowledge of the applied section of the course, through: (a) an open-ended question on capital and income; (b) an open-ended question with practical implications (e.g., cost analysis, evaluation of economic capital, ratios, self-financing, etc.) (5 points).
For the oral exam, the student must prepare a project, to be agreed upon with the professor, on one of the parts of the program, to demonstrate application ability of business-economics concepts in their field of study (10 points).
In the oral test, after the project discussion, the student will have to answer 2 or 3 questions related to topics concerning the entire program of the subject.

books

1) G. Catturi, Principi di economia aziendale, Cedam, Padova, 7th edition 2021 (Section A: lessons 1, 2, 8; Section B: lessons 9, 10, 12, 15, 16 e 20; Section C: Lessons 22, 23, 24, 28 & 31).

2) E. Cavalieri - R. Franceschi Ferraris, Economia Aziendale, Vol. I, Attività aziendale e processi produttivi, Giappichelli, Torino, 2010, 4th edition (Section II, Chapters 3 & 5).

3) Teaching materials available on the Moodle course website

classRoomMode

Lesson attendance is not compulsory. However, considering that teaching will be organized to ensure the centrality of the active role of the student, participation in classes is strongly recommended

bibliography

Airoldi, Brunetti, Coda, Corso di Economia aziendale, Il Mulino, 2020
Brusa, Lezioni di economia aziendale, Giappichelli, Torino, 2013
Capaldo P., Reddito e capitale nell’economia dell’impresa, Giuffrè, Milano, 2013
Capaldo P., L’azienda centro di produzione, Giuffrè, Milano, 2013
D’Amico E., Etica, economia, impresa, Giappichelli, Torino, 2021
Fiori, Tiscini, Economia aziendale, Egea, Milano, 2020
Giunta, Economia aziendale, Quarta edizione, Wolters Kluwer, 2022
Zanda, Fondamenti di economia aziendale, Giappichelli, Torino, 2015

Teacher's Profile

courseProgram

The course is structured in two parts (general and applied). The first part focuses on analyzing the characteristics of company operations, their structures, and the specific conditions that shape their institutional and managerial structures. The second part introduces the student to the application of the basic concepts to different business contexts and acquiring technical tools that will equip learners to evaluate business performance.

GENERAL SECTION
The economic entity on the objective and subjective level

• The origin of business administration: needs, goods, and value
• Meaning, evolution, and interpretation of the business administration concept
• The conditions of existence, the characters of the business administration, and its classifications
• The function of the business administration, its aims, and management
• Business activities and organisation
• The subjects within the business administration: legal and economic subjects
• Strategies

OPERATIONAL SECTION
The economic and financial dimensions of management
• The notion of corporate assets, liabilities, and equity
• Qualitative and quantitative analysis of the corporate net assets
• The accrual basis and the cash basis of accounting
• The different measures of the capital under the hypotheses of going concern and liquidation
• The analysis of the profitability and of liquidity of the firm using the ratios
• Cost accounting
• The financial dimension of the business management (Requirement assessment, self-financing, cash flow)

examMode

The exam is written and oral.
The written test includes the following verification:
- knowledge of the general section of the course using open and closed questions (10 points)
- knowledge of the applied section of the course, through: (a) an open-ended question on capital and income; (b) an open-ended question with practical implications (e.g., cost analysis, evaluation of economic capital, ratios, self-financing, etc.) (5 points).
For the oral exam, the student must prepare a project, to be agreed upon with the professor, on one of the parts of the program, to demonstrate application ability of business-economics concepts in their field of study (10 points).
In the oral test, after the project discussion, the student will have to answer 2 or 3 questions related to topics concerning the entire program of the subject.

books

1) G. Catturi, Principi di economia aziendale, Cedam, Padova, 7th edition 2021 (Section A: lessons 1, 2, 8; Section B: lessons 9, 10, 12, 15, 16 e 20; Section C: Lessons 22, 23, 24, 28 & 31).

2) E. Cavalieri - R. Franceschi Ferraris, Economia Aziendale, Vol. I, Attività aziendale e processi produttivi, Giappichelli, Torino, 2010, 4th edition (Section II, Chapters 3 & 5).

3) Teaching materials available on the Moodle course website

classRoomMode

Lesson attendance is not compulsory. However, considering that teaching will be organized to ensure the centrality of the active role of the student, participation in classes is strongly recommended

bibliography

Airoldi, Brunetti, Coda, Corso di Economia aziendale, Il Mulino, 2020
Brusa, Lezioni di economia aziendale, Giappichelli, Torino, 2013
Capaldo P., Reddito e capitale nell’economia dell’impresa, Giuffrè, Milano, 2013
Capaldo P., L’azienda centro di produzione, Giuffrè, Milano, 2013
D’Amico E., Etica, economia, impresa, Giappichelli, Torino, 2021
Fiori, Tiscini, Economia aziendale, Egea, Milano, 2020
Giunta, Economia aziendale, Quarta edizione, Wolters Kluwer, 2022
Zanda, Fondamenti di economia aziendale, Giappichelli, Torino, 2015

MARKETING

MICHELA PICCAROZZI

6SECS-P/08ita

Learning objectives

The course aims to analyse the subject of marketing from the methods and characteristics of the strategy to the operational aspects.
The analysis of marketing in its strategic and operational aspects will be articulated starting from the knowledge of the consumer up to the preparation of the marketing plan.
The student should be able to:
1) Knowledge and understanding: to know and understand the dynamics of marketing and how management can accurately plan its operational levers;
2) Applying knowledge and understanding: practically apply the knowledge acquired to develop marketing plans;
3) Autonomy of judgement (making judgments): having autonomy of judgement and ability to apply marketing methodologies and tools in an independent and original way;
4) Communication skills: to be able to communicate the acquired knowledge also through exercises and project work in comparison with other colleagues;
5) Learning skills: to learn a method of critical analysis and application of marketing tools.

Teacher's Profile

courseProgram

PART ONE - Marketing analysis (consumer behavior; market segmentations; competition; marketing research)
SECOND PART - The strategy (corporate and marketing strategy)
PART THREE - The Marketing mix (decisions relating to the product, price, services, distribution channels, communication and sales network).
PART FOUR - The programming (the marketing plan, CRM, digital marketing, brand and brand equity).

examMode

The final examination is written and will contain a series of questions designed to ascertain the student's theoretical knowledge of the marketing process and its different phases (analytical, strategic and operational).
Two questions will be open-ended where the student will be able to demonstrate a broad knowledge of the topics covered.
Ten questions will be multiple-choice and will allow assessment not only of the theoretical aspects but also of the practical/application understanding of the topics covered.
Open questions will be awarded 10 points each and multiple-choice questions 1 point each.
Any project work carried out by students in the classroom will be assessed and added to the examination paper.

Due to the pandemic, during the period in which the exams will be held electronically, the written test will be replaced by an oral test based on three questions (10 points each) on the topics covered in the programme in which the student must demonstrate that he/she has understood the topics theoretically and practically.

books

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione
SLIDES of the lessons - Available on the student portal divided according to the structure of the reference text

mode

The lessons will be accompanied by case and project analysis.

classRoomMode

Class attendance is optional. However, it is advisable to attend lectures in the classroom or by distance learning where applicable.

bibliography

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione

Teacher's Profile

courseProgram

PART ONE - Marketing analysis (consumer behavior; market segmentations; competition; marketing research)
SECOND PART - The strategy (corporate and marketing strategy)
PART THREE - The Marketing mix (decisions relating to the product, price, services, distribution channels, communication and sales network).
PART FOUR - The programming (the marketing plan, CRM, digital marketing, brand and brand equity).

examMode

The final examination is written and will contain a series of questions designed to ascertain the student's theoretical knowledge of the marketing process and its different phases (analytical, strategic and operational).
Two questions will be open-ended where the student will be able to demonstrate a broad knowledge of the topics covered.
Ten questions will be multiple-choice and will allow assessment not only of the theoretical aspects but also of the practical/application understanding of the topics covered.
Open questions will be awarded 10 points each and multiple-choice questions 1 point each.
Any project work carried out by students in the classroom will be assessed and added to the examination paper.

Due to the pandemic, during the period in which the exams will be held electronically, the written test will be replaced by an oral test based on three questions (10 points each) on the topics covered in the programme in which the student must demonstrate that he/she has understood the topics theoretically and practically.

books

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione
SLIDES of the lessons - Available on the student portal divided according to the structure of the reference text

mode

The lessons will be accompanied by case and project analysis.

classRoomMode

Class attendance is optional. However, it is advisable to attend lectures in the classroom or by distance learning where applicable.

bibliography

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione

PRODUCTION AND QUALITY CONTROL

ENRICO MARIA MOSCONI

6SECS-P/13ita

Learning objectives

The course aims to provide operational management plans both from the perspective of lean techniques and for a strategic vision of the technologies necessary for the production processes of goods and services.
The course provides elements for a strategic vision of technologies and tools for evaluating possible implementation and development options in processes from the economical perspective also.Specifically: knowledge and understanding of the basics of manufacturing and industrial processes and services and Operation Management, applying knowledge and understanding of different kinds of processes and scheduling. making judgments and critical analysis of the studied subjects. communication skills in presenting projects and subjects of the class. learning skills of the basic principles of the methods and techniques of the topics covered by the course.

Teacher's Profile

courseProgram

Process management principles, classic and new strategic parameters of production. production systems: environmental, economic and technological aspects – managing and project concept for optimization in manufacturing and service processes the manufacturing product-process matrix,
Strategic elements into the process management: Design and product development, market implications, productive capacity planning, logistic management - Technology innovation strategy: the make or buy choice – the IP value and evaluation The Technology transfer - Technology evaluation principles, models and techniques
The strategic plan - the aggregate operations plan - Master schedule - Materials management: major objectives - Principles and Tools - Material requirement planning - approach to the Master schedule control operation tools - Introduction to Project Management, principles, techniques and tools
Principles of quality management: models and applications: the customer relationship: customer needs analysis and techniques for the customer satisfaction - quality management and business management integration: quality control and management control - The Quality Management System and the certification process: the application of ISO 9001; the quality system implementation; guidance for the quality audit; the technical audit process

examMode

Oral examination

books

- Tecnologia dei Cicli Produttivi - AA.VV. , F. D'Ascenzo - Ed. Wolters Kluwer 2024
- Materiale fornito in piattaforma

mode

Lessons , project work, seminars

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

- Tecnologia dei Cicli Produttivi - AA.VV. , F. D'Ascenzo - Ed. Wolters Kluwer 2024

ENGINEERING OF AGRO-FOOD AND BIOTECHNOLOGY INDUSTRY

MARCELLO FIDALEO

6AGR/15ita

Learning objectives

Learning objectives: to provide the knowledge for the description of the phenomena at the basis of food technologies and biotechnologies and their framing in the approach scheme of "Unit Operations".
Expected Learning Outcomes:
1) Knowledge and Ability to Understand: to develop knowledge of the principles underlying unit operations, major unit operations and corresponding equipment.
2) Applied knowledge and understanding: to know how to make block diagram of processes and use quantitative methods of computation to solve exercises related to food and biotechnological systems, with particular reference to macroscopic matter and energy balances.
3) Autonomy of judgment: to know how to independently collect, select and evaluate information necessary for the analysis and resolution of problems related to unit operations in food and biotechnology;
4) Communication Skills: to know how to communicate information, ideas, problems and solutions related to unit operations in the food and biotechnology industry to both specialist and non-specialist audiences;
5) Learning skills: to develop those learning skills that will allow for continued independent or partially guided study of unit operations.

Teacher's Profile

courseProgram

Rheology of food and biotechnological products. Transport of liquids. Thermal death and thermal damage kinetics. Macroscopic mass balances under stationary and non-stationary conditions. Energy balance. Application of the macroscopic energy and mass balance to food and biotechnological systems. Mass transfer. Heat transfer under non-stationary conditions (heat penetration curve). Heat exchangers. Thermal treatments and relative devices. Concentration by evaporation.

examMode

The final exam consists of a written test related to the resolution of three numerical exercises and an oral test consisting of three questions on the topics covered. The tests will verify: the basic knowledge related to unit operations and to the corresponding equipment; the ability to realize block diagrams of processes and to use quantitative computer methods to solve problems in the food sector; the ability to collect, select and evaluate in an autonomous way the necessary information for the analysis and the resolution of problems; the communication skills; the ability to learn in an autonomous or partially guided way. Each exercise/question will be evaluated with a score between 0 and 10. The final grade of the written/oral test will be given by the sum of the scores of the single exercises/questions. The student will be admitted to the oral test only if a score of at least 18 in the written test is obtained. The final grade will be given by the average score of the written test and the oral test.

books

R. Paul Singh, Dennis R. Heldman. Principi di Tecnologia Alimentare. Casa Editrice Ambrosiana.

mode

The course consists of 24 frontal lectures of 2 hours each.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

P. Masi. Ingegneria alimentare. Modelli predittivi della tecnologia alimentare. Doppiavoce.
P. Masi. Esercitazioni di ingegneria alimentare. Guida alla risoluzione dei problemi. Doppiavoce.
Dario Friso, Mario Niero. Operazioni Unitarie dell’Ingegneria Alimentare. Modelli Fisici e Matematici, Macchine e Impianti. Cleup, 2010.
Claudio Peri, Bruno Zanoni. Manuale di Tecnologie Alimentari I-IV. CUSL.
Carlo Pompei. Operazioni unitarie della tecnologia alimentare. Casa Editrice Ambrosiana.

Teacher's Profile

courseProgram

Rheology of food and biotechnological products. Transport of liquids. Thermal death and thermal damage kinetics. Macroscopic mass balances under stationary and non-stationary conditions. Energy balance. Application of the macroscopic energy and mass balance to food and biotechnological systems. Mass transfer. Heat transfer under non-stationary conditions (heat penetration curve). Heat exchangers. Thermal treatments and relative devices. Concentration by evaporation.

examMode

The final exam consists of a written test related to the resolution of three numerical exercises and an oral test consisting of three questions on the topics covered. The tests will verify: the basic knowledge related to unit operations and to the corresponding equipment; the ability to realize block diagrams of processes and to use quantitative computer methods to solve problems in the food sector; the ability to collect, select and evaluate in an autonomous way the necessary information for the analysis and the resolution of problems; the communication skills; the ability to learn in an autonomous or partially guided way. Each exercise/question will be evaluated with a score between 0 and 10. The final grade of the written/oral test will be given by the sum of the scores of the single exercises/questions. The student will be admitted to the oral test only if a score of at least 18 in the written test is obtained. The final grade will be given by the average score of the written test and the oral test.

books

R. Paul Singh, Dennis R. Heldman. Principi di Tecnologia Alimentare. Casa Editrice Ambrosiana.

mode

The course consists of 24 frontal lectures of 2 hours each.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

P. Masi. Ingegneria alimentare. Modelli predittivi della tecnologia alimentare. Doppiavoce.
P. Masi. Esercitazioni di ingegneria alimentare. Guida alla risoluzione dei problemi. Doppiavoce.
Dario Friso, Mario Niero. Operazioni Unitarie dell’Ingegneria Alimentare. Modelli Fisici e Matematici, Macchine e Impianti. Cleup, 2010.
Claudio Peri, Bruno Zanoni. Manuale di Tecnologie Alimentari I-IV. CUSL.
Carlo Pompei. Operazioni unitarie della tecnologia alimentare. Casa Editrice Ambrosiana.

AUTOMATION AND CONTROL ENGINEERING6ING-INF/04ita

Learning objectives

The course aims at introducing the students to a general knowledge of dynamic systems, their modeling and their properties, focusing on their stability properties, observability properties and controllability properties. Moreover, the course aims at providing a good enough knowledge to design control systems for dynamic processes.
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

ARTIFICIAL INTELLIGENCE APPLIED TO INDUSTRIAL PROCESSES

ANDREA ZINGONI

6ING-INF/05ita

Learning objectives

"In the last decade, Artificial Intelligence (AI) has had a disruptive impact within the scientific landscape, emerging as a technology capable of solving problems that were once considered insurmountable in a “simple” way, until permeating many aspects of our daily lives. However, even today, few people fully understand what AI truly is, even within scientific and technological contexts, where it is often used without a thorough understanding of its potential, achieved results, and risks.
The course aims to comprehensively introduce and deepen students' understanding of this technology, from its definition and uses to the theoretical and practical aspects that define it. Upon completion of the course, students will not only know how to apply the most efficient AI techniques and models, but also understand them deeply and interpret their implications.
The first part of the course will delve into theoretical aspects of probability and statistics underlying AI. This will be followed by a second part introducing the basics of artificial intelligence, along with digital tools currently available for operational use. This section will further be divided into two parts: the first focusing on machine learning techniques and algorithms, and the second on neural networks and deep learning.
Throughout the course, seminars by industry and research experts will be held to showcase current applications of data analysis across various fields.

The expected knowledge objectives are:
1) the knowledge of the contents of the course (Dublin descriptor n°1);
2) the capability to apply such a knowledge to real problems competence in presenting technical topics (Dublin descriptor n°2);
3) the autonomy of judgment in proposing the most appropriate approach to solve a problem (Dublin descriptor n°3);
4) the ability to expose problems and solutions within the topics of the course by using a proper language (Dublin descriptor n°4);
5) the development of logical skills, useful to improve self-evaluation and self-learning (Dublin descriptor n°5).
"

Teacher's Profile

courseProgram

• Introduction to the course (2h): – Lessons + Seminars
o Artificial intelligence definition/s and algorithm types
o Artificial intelligence history, from the first inventions to the state-of-the-art
o Uses, benefits, criticalities and issues of artificial intelligence
• Fundamentals of statistics and probability (6h) – Lessons
o Basic concepts of statistics and combinatorics
o Basic concepts of probability
o Marginal, joint and conditioned probability and events independence
o Bayes Theorem and Total Probability Theorem
o Composed and iterated experiments
o Introduction to random variables
o Continuous and discrete variables
o Distribution and probability density/mass functions
o Notable random variables
o Trasformations of random variables
o Characteristic parameters of random variables
o Systems of random variables
o Characteristic parameters of random variables systems
• Machine Learning (16h): – Lessons + Matlab and Python laboratory + Seminars
o Introduction to AI utilization
o Data inference, training, validation and testing
o Issues in using AI: bias and overfitting.
o PCA
o K-Means and Hierarchical Clustering
o Naïve Bayes classifier and anti-spam filters
o Lineare and logistic regression
o k-NN classifier
o SVM
o Decision/regression tree and Random Forest
o Boosting methods: ADABoost, Gradient Boosting Machines (XGBoost)
• Fundamentals of neural networks and deep learning (14h): Lessons + Matlab and Python laboratory + Seminars
o Introduction to alle neural networks
o Artificial neuron and perceptron
o Neural network parameters and hyperparameters
o Activation function (sigmoid, ReLu, softmax)
o Feedforward networks and training: loss function, optimization algorithm, backpropagation algorithm
o Overfitting and regularization
o Recurrent neural networks(RNN)
o Convolutional neural networks (CNN)
o Basics of the state-of-the-art deep learning techniques and of reinforcement learning.

examMode

The exam will consist of:
1. a written part, which will mainly focus on statistics and probability;
2. a practical part, consisting of developing scripts for solving tasks using machine and deep learning techniques and algorithms;
3. an oral part, which will cover the theoretical topics of the entire course.
The written test or the practical test may not be present in all exam sessions. However, the exam will always include at least one of either the written or practical test and the oral test.

books

- "Teoria della probabilità e variabili aleatorie, con applicazioni all’ingegneria e alle scienze", di A. Bononi e G. Ferrari, ed. Esculapio, 2008.
- "Algoritmi per I’intelligenza artificiale”, di R. Marmo, ed. Hoepli, 2020.
- "Artificial intelligence: a modern approach" 4th ed., di S. Russel, P. Norvig, ed. Global Edition.
- “Hands-on machine learning with Scikit-learn, Keras & TensorFlow” 2nd ed., di A. Géron, O’Reilly ed.
- “Neural Networks and Deep Learning: a Textbook”, di C.C. Aggarwal, ed. Springer.

mode

The lessons will be both theoretical/discursive and practical (computer programming). Regular lecture hours will be alternated with tutorial sessions.
At the discretion of the instructor, participation in seminars held by industry experts will be encouraged.
All lessons will be streamed live and recorded to ensure that every student can participate remotely, both synchronously and asynchronously, and to allow for reviewing explanations multiple times. However, attending in-person classes is strongly recommended.

classRoomMode

Attendance of the course is optional

bibliography

Teaching materials provided by the lecturer.

119634 - ENERGY SYSTEMS

FULVIO PAOLO BUZZI

Second Semester 9ING-IND/08ita

Learning objectives

"Based on the thermodynamic fundamentals of Technical Physics, the course provides students with the elementary tools for the analysis, design and operation of energy systems and their main components.

Learning outcomes: Knowledge of power generation systems and the effect of actual operating conditions.
Knowledge of the national electricity system and the operating modes of plants.
Ability to define advantages and criticalities of energy conversion systems.
Ability to calculate the performance of the energy systems presented.
Ability to evaluate and compare fossil and renewable energy conversion technologies
Transversal competences:
Ability to communicate effectively in written and oral form, adaptation of own communication to the context, use of various sources and aids, critical thinking, ability to use, process and evaluate information."

Teacher's Profile

courseProgram

PROGRAM:
Heat exchangers. Compression and expansion transformations.
Introduction and classification of machines. Energy sources, requirements and production.
Gas turbine plants - Elementary circuit and Joule cycle. Efficiency and work in ideal and limit cycles. The real cycle. Power regulation. Closed circuit plants. Thermal regeneration. Intercooling and Post-combustion. Aeronautical applications of gas turbines.
Steam engine plants - Elementary circuit and Hirn cycle. Steam generators and heat exchange equipment. Conditions at the condenser. Conditions at the steam generator. Reheating. Thermal regeneration. Types of regenerators.
Combined plants: combination of different machines in the same plant; combination of different machines; combined gas-steam plants.
Compression refrigeration machines: reverse Rankine cycle, operating diagram, working parameters, the domestic refrigerator, refrigerant fluids, heat pumps
Absorption refrigeration machines: operating principles and functional diagram, P-T-x diagrams of solutions, absorption heat pumps.
Incompressible flow turbines: Classification, similarity criteria and fields of application. Pelton turbine, Kaplan turbine, Francis turbine. Power regulation. Cavitation.
Compressible flow turbines: Classification, similarity criteria and fields of application. Impulse turbines. Reaction turbines, and variable reaction rate (blade twisting). Structure of multistage turbines. Calculation of seals in compressible flow turbines. Power regulation.

examMode

Written test, oral test and project evaluation

books

1) V. Dossena, G. Ferrari, P. Gaetani, G. Montenegro, A. Onorati, G. Persico, MACCHINE A FLUIDO, CittàStudiEdizioni
2) S. Larry Dixon, Cesare Hall Fluid Mechanics and Thermodynamics of Turbomachinery
3) C. Caputo, Gli impianti convertitori di energia, Ed. Masson

classRoomMode

Not mandatory

bibliography

1) V. Dossena, G. Ferrari, P. Gaetani, G. Montenegro, A. Onorati, G. Persico, MACCHINE A FLUIDO, CittàStudiEdizioni
2) S. Larry Dixon, Cesare Hall Fluid Mechanics and Thermodynamics of Turbomachinery
3) C. Caputo, Gli impianti convertitori di energia, Ed. Masson

18311 - INDUSTRIAL PLANTS

ILARIA BAFFO

Second Semester 6ING-IND/17ITA

Learning objectives


1) Knowledge and understanding;
The course aims to transfer the basic knowledge of industrial production systems through their classification and identification, the definition of organizational models, the identification of management and design issues. The expected results are related to the student's ability to carry out a sizing of a simple system from a technical and economic point of view.
2) Applying knowledge and understanding;
The course aims to transfer the tools useful for solving problems related to the design, sizing and management of an industrial plant. The expected results include the understanding of the techniques applied to real case studies.
3) Autonomy of judgment (making judgments);
The acquisition of an autonomy of judgment is a consequence of the didactic approach of the entire course of study, in which the theoretical training is accompanied by examples, applications, exercises, both practical and theoretical, single and group, which accustom the student to making decisions, and being able to judge and predict the effect of their choices.
4) Communication skills;
Throughout the course, the student is asked to expose the concepts acquired precisely in order to develop communication skills through the presentation of project work, of exercises solved on case studies proposed by the teacher. The development of communication skills involves the acquisition and use of the technical terminology of the subject.
5) Ability to learn (learning skills)
The course involves the transfer of engineering practice relating to:
(i) solve sizing problems of an industrial plant complete with handling, production and storage systems, combining theory and practice;
(ii) recognize the different production plants through knowledge of the classifications found in the literature;
(iii) recognize the most influential decision-making variables for determining decisions relating to production, handling and storage plants.

Teacher's Profile

courseProgram

Introduction to Production Systems. Classification of production systems. Push, pull and mixed systems production policies. Industrial processes and plant engineering study. Technical-economic comparison between different processes / layouts. Sizing of Industrial Plants. Production capacity, crossing time and WIP. Performance composed of a production system and main causes of efficiency reduction (OEE). Sizing criteria of a production system.
Material handling and storage systems. General information on the treatment of materials. Classification and overview of internal handling systems: rollers, belts, hoists, trolleys, AGV, AEM. Classification and overview of material storage systems: stacked warehouses, traditional racking warehouses, automated warehouses. Selection criteria and design principles for material handling systems. Conveyor systems sizing principles: rollers, belts and hoists, trolleys and AGVs. Sizing principles for storage systems: warehouse served by forklifts, automatic warehouse served by stacker crane.
Generalization of service plants. General operating scheme of a service plant. General principles of production management. Analysis of the times of a line, balancing and study of the plant efficiency (OEE). Cycle time and pairing. Failure and setup availability: maintenance management policies and production planning.

examMode

The exam consists of a written test and an oral test.
the written test will be structured in a variable number of 3 or 4 exercises for a total duration varying from 1.5 to 2 hours.
The test is aimed at ascertaining the theoretical and practical knowledge of the student on the basis of the lessons and exercises proposed during the course.
The written test is carried out in total autonomy with the sole aid of a calculator.
The oral exam focuses on 3 topics among the topics proposed in the course. The student will have to demonstrate that they know how to explain the basic concepts and argue innovative solutions and proposals on the basis of the questions posed.

books

A.Monte, ''Elementi di Impianti Industriali'', voll 1 e 2, Ed. Cortina, 1994
F.Turco, ''Principi generali di progettazione degli impianti industriali'', Ed. Città Studi, 1993
Appunti dalle lezioni.

mode

The course is divided into lessons lasting approximately 1.5 hours. The contents of each lesson are shown in slides which are then made available to students as study material. Before, during and after the lesson, the teacher is available for clarifications and additions.
Practical case studies could be proposed to be tackled also in groups depending on the predisposition of the students and the learning time of the class.

classRoomMode

Attendance of the course is optional

bibliography

A.Monte, ''Elementi di Impianti Industriali'', voll 1 e 2, Ed. Cortina, 1994
F.Turco, ''Principi generali di progettazione degli impianti industriali'', Ed. Città Studi, 1993
Appunti dalle lezioni.

15837 - OPTIONAL SUBJECT

Second Semester 6ita
15836 - FINAL TEST AND THESIS

Second Semester 3ITA
MODULE II - -- -
RENEWABLE ENERGIES: PROCESS AND TECHNOLOGY

MAURIZIO CARLINI

6AGR/09ita

Learning objectives

The fundamental objective of the "Renewable Energy: Processes and Technologies" course is to provide the student with the knowledge and technical and practical skills for the design and development of plant solutions aimed at producing energy that can be used for both civil and industrial purposes, also in relation to the renewable energy sector. The expected learning outcomes are the knowledge of both theoretical and practical notions associated with the energy cycle, the types of fossil fuels compared to those from renewable sources with obvious references to the dynamics of environmental pollution, biomass, biochemical processes of energy production (biochemical processes, in particular anaerobic digestion with biogas upgrading and thermochemical processes, in particular the gasification process), geothermal energy with low enthalpy plants, solar energy (both thermal and photovoltaic), bioliquids and biofuels, wind energy and hydroelectricity. In addition, the practical tools typically required in the context of the implementation / identification of strategies for integrated systems for the production of energy in the industrial sector (for example for sustainable industrial districts) will be discussed.
Therefore, the expected learning outcomes include the knowledge and development of a critical sense in terms of the ability to identify the parameters associated with the operation of the aforementioned equipment and systems in order to optimize their operation both in the sizing phase and in the activities (if possible) in relation to the requests of the final user, thus developing a critical sense from a technical point of view, as well as understanding the meaning of the technical terminology used in the renewable energy plant sector, in relation to technologies and processes. At the end of the course, the student will have practical and theoretical notions relating to the main types of plants for the exploitation of renewable energy sources, strengthening the skills already developed in the three-year degree course and having the ability to solve problems relating to issues, including new ones or which require multidisciplinary approaches, in any case deriving from the sector under study. At the end of the course, the student will be able to communicate their conclusions clearly and unambiguously to specialist and non-specialist interlocutors operating in the renewable plant engineering sector. In addition, the expected results include the student's development of a learning ability that allows him to deepen the issues addressed independently, adapting to the needs he will encounter in the workplace.

Teacher's Profile

courseProgram

48 hours Course, divided into the following topics:
Classification of fuels (2h).
Energy sources and RES (2h).
Environmental pollution (2h).
Energy balance (2h).
Biomasses (2h).
Anaerobic digestion and related exercise (4h).
Biofuels (2h).
Thermochemical processes and related exercise (4h).
Solar energy: solar thermal and PV plants and related exercise (4h).
Geothermal energy and related exercise (4h).
Wind energy and related exercise (4h).
Hydraulic energy and related exercise (4h).
Compound Parabolic Concentrators: applications and R&D activities (3h).
COMSOL Multiphysics case study (numerical simulation for engineering) (3h).
Theory and exercise final overview (6h).

examMode

The final mark is assigned by written test (n.2 RES plant sizing exercise and n.1 theory question to be answered). The minimum mark required to pass the exam is fixed to 18/30.

books

Slides and lecture notes.

mode

The course is based on both practical (exercises and plants sizing procedures) and theory lessons. Theoretical notions are illustrated to students during lectures, through audio-visual aids and the blackboard. During the course there will be exercises carried out on the blackboard for the sizing of the equipment and plant components as referenced in lecture notes. In terms of practical application, 3 hours are referred to multiphysics simulation by software of the processes and equipments as discussed by the exercises and lecture notes.

classRoomMode


The course will take place in person or remotely on an online platform, following the emergency and anti-COVID measures.

bibliography

Slides and lecture notes.

MICRO AND MACRO ECONOMICS

GIULIO GUARINI

6SECS-P/01ita

Learning objectives

A) TRAINING OBJECTIVES To provide the basic analytical tools to understand the functioning of the economic-financial system and the role of households, businesses, the state, banks and the rest of the world, presenting economic science as a social science characterised by a plurality of theoretical positions. B) EXPECTED LEARNING OUTCOMES 1. Knowledge and ability to understand: knowledge of economic theories and policies to understand the main issues of contemporary economics. 2. Ability to apply knowledge and understanding: learning the elementary tools for assessing the main critical issues and opportunities of an economy. 3. Autonomy of judgement: knowing how to identify the main relationships of the economic system in order to grasp its logic and explain it according to different theoretical approaches and with a critical capacity. 4. Communication skills: learning analytical rigour with the use of formulae and graphs and with the illustration of logical connections. 5. Learning ability: a condition for successful learning is the ability to independently and critically reconstruct introductory notions of political economy.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

WORK SAFETY

ANDREA COLANTONI

6AGR/09ita

Learning objectives

"RAINING OBJECTIVES: The teaching will be oriented towards solving problems, analyzing and assessing risks, planning suitable prevention and protection interventions, paying attention to in-depth analysis based on the different levels of risk.

EXPECTED LEARNING RESULTS

1) Knowledge and understanding (knowledge and understanding):
It will allow the acquisition of knowledge / skills to: - identify the dangers and assess the risks present in the workplace, including ergonomic and work-related stress risks; - identify the specific prevention and protection measures for the sector, including PPE, with reference to the specific nature of the risk and the work activity; - help identify adequate technical, organizational and procedural safety solutions for each type of risk.
2) Applying knowledge and understanding; possibility to apply knowledge in all work environments, with understanding of the technical and regulatory terms of workplace safety. Furthermore, ability to manage both training projects and technical assessments.
3) Autonomy of judgment (making judgments); Understanding if the technical and / or legislative settings have been carried out in a workmanlike manner within the company, and knowing how to manage the non-conformities present both from a technical and legal point of view.
4) Communication skills; Ability to relate also through the design of appropriate training courses.
5) Ability to learn (learning skills): verify learning also through work groups on specific topics.
Invia commenti
Cronologia
Salvate
Community
"

Teacher's Profile

courseProgram

Risk assessment such as:
a) prevention planning process;
b) knowledge of the business organization system as a basis for the identification and analysis of risks c) development of methods for controlling the effectiveness and efficiency of the safety measures taken over time.
• The system of relations: RLS, M.C., workers, employer, public bodies, suppliers, self-employed workers, contractors, etc. ..
• Communication management in different work situations,
• Methods, techniques and tools of communication,
• Management of business meetings and periodic meetings,
• Negotiation and management of trade union relations.
• Elements of understanding and differentiation between stress, mobbing and burn-out,
• Occupational consequences of the risks from these phenomena on organizational efficiency, on the safety behavior of the worker and on his state of health,
• Tools, methods and measures of prevention, • Analysis of didactic needs
• The safety management system: UNI-INAIL guidelines, integration and comparison with norms and standards (OSHAS 18001, ISO, etc.)
• The process of continuous improvement
• Integrated organization and management of technical-administrative activities (specifications, administrative paths, economic aspects).
• The ergonomic approach in organizing workplaces and equipment,
• The ergonomic approach in business organization,
• Organization as a system: principles and properties of systems.
• From risk assessment to preparation of information and training plans in the company (Legislative Decree 626/94 and other European directives).
• Sources of information on occupational health and safety.
• Methods for correct information in the company (meetings, specific working groups, conferences, information seminars, etc…).
Information tools on health and safety at work (circulars, posters, brochures, audiovisuals, notices, news, network systems, etc.).
• Elements of didactic design:
- analysis of training needs;
- definition of didactic objectives,
- choices of contents according to the objectives,
- teaching methodologies,
- systems for evaluating the results of in-company training.
Microclimate and risk assessment
Illumination and risk assessment

examMode

The examination takes place in the forms established by art. 23 of the University Didactic Regulations. In the evaluation of the test and in the attribution of the final grade, the following will be taken into account: the level of knowledge of the contents demonstrated, the ability to apply theoretical concepts, the ability to analyze, synthesize and interdisciplinary connections, the ability of critical sense and formulation of judgments, of the mastery of expression. The exam consists of an oral test. During the test, the level of knowledge acquired on the topics covered in the course, the ability of the candidate to critically apply this knowledge to the problems and case studies addressed, as well as the effectiveness and clarity in the presentation will be assessed.

books

Lecture notes and lecture notes (available online).

mode

----------------------------------------------

classRoomMode

in room on the didattic matertials in the whole program

bibliography

Lecture notes and lecture notes (available online).

COMPLEMENTS OF KINEMATICS AND DYNAMICS

CHRISTIAN IANDIORIO

6ING-IND/13ita

Learning objectives

"Learning objectives (according to the Dublin descriptors): The teaching of ""Complements of Kinematics and Dynamics"" will introduce student engineers to the principles and methods of Applied Mechanics of Machines in order to acquire knowledge of the fundamental laws governing the operation of mechanical devices and machines.
The objective will be to provide students with the ability to decompose machines into elementary components made up of rigid bodies, to give them the tools to be able to describe and critically analyse kinematics, static and dynamic actions acting in mechanical systems and the resulting motion. To provide knowledge of how to test and design plane and space mechanisms for understanding the functioning of the main machine organs. Equip student engineers with the basic elements that constitute the theoretical minimum for modelling and analysing the operation of a machine.
Expected Learning Outcomes - Knowledge and Understanding: The course aims to provide the knowledge of Kinematics and Dynamics aimed at setting up, simulating and evaluating the design and modelling of mechanical systems. - Ability to Apply Knowledge and Understanding: The student will be able to: a) Propose and interpret the results of design solutions. b) Perform the analysis of the kinematic structure and degrees of freedom of mechanisms, identifying the constrained kinematic chains incorporated in larger engineering systems.
c) Calculate velocities and accelerations, by means of kinematic analysis, in articulated mechanisms through analytical and numerical-computational methods recognising direct and inverse problems. d) Apply analytical and numerical-computational procedures in order to solve kinematic design problems (kinematic synthesis) of mechanisms.
e) Set up and simulate mechanical models knowing how to plan, implement and correct computer-aided design tools for the analysis of kinematics and dynamics of constrained mechanical systems using numerical integration and solution methods. f) Know how to synthesise and analyse linear models with multiple degrees of freedom for the analysis of vibrations in mechanical systems.
- Autonomy of Judgement: The student will be able to carry out the setting up and critical examination of models and related simulations. - Communication Skills: To be able to present the results of the development of models and their analysis inherent to mechanical systems using verbal, written and electronic methods (calculation software).
- Learning ability: The learning ability will be developed through the active involvement of students through oral discussions in the classroom and guided design exercises on specific topics inherent to the course. Furthermore, this ability will be stimulated and verified through the assignment of design exercises, to be carried out also through the use of the computer, which will solidify the learning of the fundamental concepts by encouraging student engineers to try their hand at the verification and dimensioning of real mechanical systems."

Teacher's Profile

courseProgram

The detailed educational program is organized into the following main sections:

- Introduction to Mechanical Systems and Mechanisms:

Overview of the historical development of Kinematics and Applied Mechanics.

- Recap of Fundamental Aspects of Linear Algebra, Differential Geometry, and Mathematical Analysis:

Vector algebra. Solution of vector equations. Vector calculus in Euclidean and curvilinear spaces (non-Euclidean, covariant derivative). Geometry of curves and surfaces. Tensor algebra. Introduction to tensor calculus. Matrix algebra. Eigenvalue/eigenvector problems. Lagrange multipliers method for solving constrained systems. Solution of under- and over-determined linear algebra problems. Analytical solution of linear Ordinary Differential Equations (ODE).

- Introduction to Numerical Analysis:

Computer arithmetic (floating-point arithmetic). Numerical solutions for large linear systems: Direct Methods (Gauss-Jordan, Cholesky Factorization, QR Decomposition, Singular Value Decomposition-SVD) and an introduction to Iterative Methods. Algorithms for eigenvalue/eigenvector computation in large linear systems using factorization and iterative methods. Numerical methods for solving nonlinear equations and systems of nonlinear equations: Bisection method, Newton-Raphson method. Introduction to solving nonlinear equations and systems as minimization problems using optimization algorithms: Trust-Region, Levenberg-Marquardt. Numerical solution of ODEs with initial value problems (IVP): Explicit and Implicit Integration, Finite Difference Method, Runge-Kutta methods and step size selection, Newmark’s method.

- Kinematics of a Point Particle and a Rigid Body:

Degrees of freedom of a point particle. Kinematics of a point particle in an inertial reference frame. Kinematics of a point particle in a non-inertial reference frame. Definition of a rigid body. Degrees of freedom of a rigid body. Position and orientation of a rigid body in space. Rotation tensor and its matrix representation. Euler's theorem. Cayley's formula. Rodrigues’ formula. Rodrigues parameters. Euler parameters. Euler angles and Cardan angles. Axis of screw motion (Mozzi’s theorem). Numerical techniques for determining the axis of screw motion. Kinematics of rigid bodies. Axis of instantaneous motion (ISA). Instantaneous centre of accelerations.

- Statics and Dynamics of a Point Particle and a Rigid Body:

Cardinal equation of the statics of particles. Dynamics equation of particles (Newton's equation). Cardinal equations of statics of rigid bodies. Varignon's theorem. First cardinal equation of rigid body dynamics. Angular momentum. Inertia tensor. Mass geometry. Kinetic energy of a rigid body. Angular momentum. Newton-Euler equations. Important applications in the dynamics of rigid bodies.

- Kinematic Structure of Mechanical Systems:

Classification of kinematic pairs and their degrees of freedom. Higher pairs. Introduction to Multibody Systems. Kinematic chains, mechanisms, and their graphical representation. Topological formulas for calculating the degrees of freedom of planar and spatial mechanisms. Basic articulated mechanisms. Various types of mechanisms used in industry.

- Kinematic Analysis of Mechanisms:

Planar motions. Centre of finite rotation. Instantaneous centre of rotation. Aronhold-Kennedy theorem. Graphical methods for kinematic analysis. Kinematic analysis of mechanisms using the constraint equations method. Calculation of a mechanism’s degrees of freedom using the constraint equations method (Hertz-Whittaker formula). Open kinematic chains. Direct and inverse kinematics. Kinematics of infinitesimal motions. Analytical determination of the instantaneous center of rotation. Poles of motion. Flexion circle. Curvature of trajectories (Euler-Savary formula). Stationarity circle. Center of accelerations. Stationary curvature cubic. Burmester points.

- Kinematic Synthesis of Mechanisms:

Introduction to kinematic synthesis. Kinematic synthesis for trajectory generation. Kinematic synthesis for motion generation. Kinematic synthesis for function generation. Applications of kinematic synthesis in basic mechanisms. Transmission angle.

- Introduction to Calculus of Variations:

Variational operations. First variation. Second variation. Fundamental lemma of the calculus of variations. Minimization of functionals depending on single or multiple variables, with derivatives of any order.

- Statics of Multibody Systems: Static analysis of mechanisms using the cardinal equations of statics. The principle of virtual work in statics (Lagrange's principle).

- Dynamics of Multibody Systems: Application of Newton-Euler equations to the dynamics of mechanisms (free-body diagrams). d'Alembert's principle. The principle of virtual work in dynamics (d'Alembert-Lagrange principle). Some variational principles for deriving the dynamics of mechanical systems (Maupertuis, Hamilton). Euler-Lagrange equation. Extension of the Euler-Lagrange equation to constrained mechanical systems. Introduction to dynamic simulation of Multibody Systems.

- Mechanical Vibrations: Linear models with one degree of freedom. Free vibrations. Forced vibrations. Experimental determination of the damping coefficient. Vibration isolation. System response to an impulse. Linear models with multiple degrees of freedom. Decoupling the equations of motion via transformation to modal coordinates. Rayleigh damping. Modal superposition method for transient analysis. Modal superposition method for harmonic analysis. Introduction to spectral analysis. Introduction to rotor dynamics.

examMode

The assessment of learning will be conducted through two methods.
The first, more traditional approach, requires the student to take a written exam, which will cover project-based questions. Consultation of books or notes is not allowed. If the student passes the written exam with a score of at least 18/30, they will be eligible to proceed to the oral exam.
The second method consists of completing a series of individual project-based exercises, which will be evaluated and must be submitted within the academic year in which the course is taught. If these exercises are deemed satisfactory, the student will be allowed to take the oral exam.
The oral exam will cover the entire program, but will focus primarily on understanding the general principles of mechanics and the student's ability to analyze mechanical systems. Additionally, the oral exam will evaluate the student's verbal communication skills and the accuracy of their language.

books

For studying the theory, students can refer to one of the following texts, which also include practical examples:

- Educational material provided by the instructor (handouts).

- N. P. Belfiore, A. Di Benedetto, E. Pennestrì. Fondamenti di meccanica applicata alle macchine. Casa Editrice Ambrosiana (CEA), 2024. ISBN: 9788808220158

- M. Callegari, P. Fanghella, F. Pellicano. Meccanica applicata alle macchine (3rd ed.). CittàStudi, 2022. ISBN: 9788825174397

For practicing the application of theoretical fundamentals of statics and dynamics to practical cases, students can refer to the following text:

- G. Figliolini, C. Lanni. Meccanica Applicata alle Macchine. Applicazioni di dinamica dei sistemi meccanici. Società Editrice Esculapio, 2023. ISBN: 9788893854092

classRoomMode

Attendance for the course is not mandatory.

bibliography

Teaching materials provided by the lecturer.

MODULE II - -- -
OTHER OPTIONAL SUBJECTS6ita
BIOFUELS LABORATORY

LEONARDO BIANCHINI

3ING-IND/09ita

Learning objectives

The fundamental objective of the "Biofuels Laboratory" course is to provide students with the knowledge and technical and practical skills in the field of biofuel production and the characterization of processes / raw materials according to standard procedures that can be implemented in a laboratory environment. The expected learning outcomes are the knowledge of the criteria and procedures for characterizing biomass and raw materials necessary for the production of biofuels, liquid and gaseous, having the opportunity to interface and assimilate the procedures, the operating principles of the equipment (through direct use at the laboratory) and the technical standards to be respected when experimenting in a biofuel laboratory but also generic, such as the design of experiments (DOE). To these are added the theoretical and practical notions associated with the regulations and incentives currently available to promote the use of biofuels and biofuels, with particular attention paid to the issue of residual biomass and their exploitation. During the course, purely applicative issues relating to multi-physics simulation software will also be addressed, useful for solving complex and multidisciplinary problems in the industrial sector. In addition, the practical tools typically required in the context of control, monitoring and data acquisition for the experimental plants and pilot plants available in the laboratory will be discussed.
Therefore, the expected learning outcomes include the knowledge and development of a critical sense in terms of the ability to identify the parameters associated with the operation of the equipment and systems associated with the production of biofuels, thus developing awareness and mastery of the technical terminology used in the biofuel production sector, in relation to technologies, processes and procedures to be implemented in the laboratory. At the end of the course, the student will have practical and theoretical notions relating to the main types of processes, technologies and plants through which liquid and gaseous biofuels are produced, strengthening the skills already developed in the three-year degree course and having the ability to solve problems related to themes, even new ones or requiring multidisciplinary approaches, in any case deriving from the sector under study. At the end of the course, the student will be able to communicate their conclusions clearly and unambiguously to specialist and non-specialist interlocutors operating in the biofuels sector, having also had the opportunity to interface with the laboratory environment. In addition, the expected results include the student's development of a learning ability that allows him to deepen the issues addressed independently, adapting to the needs he will encounter in the workplace.

LABORATORY OF ENERGY SYSTEMS MODELING3ING-IND/08ita

Learning objectives

"Based on the thermodynamic fundamentals of Technical Physics, the course provides students with the elementary tools for the analysis, design and operation of energy systems and their main components.

Learning outcomes: Knowledge of power generation systems and the effect of actual operating conditions.
Knowledge of the national electricity system and the operating modes of plants.
Ability to define advantages and criticalities of energy conversion systems.
Ability to calculate the performance of the energy systems presented.
Ability to evaluate and compare fossil and renewable energy conversion technologies
Transversal competences:
Ability to communicate effectively in written and oral form, adaptation of own communication to the context, use of various sources and aids, critical thinking, ability to use, process and evaluate information."

Learning objectives

A) TRAINING OBJECTIVES To provide the basic analytical tools to understand the functioning of the economic-financial system and the role of households, businesses, the state, banks and the rest of the world, presenting economic science as a social science characterised by a plurality of theoretical positions. B) EXPECTED LEARNING OUTCOMES 1. Knowledge and ability to understand: knowledge of economic theories and policies to understand the main issues of contemporary economics. 2. Ability to apply knowledge and understanding: learning the elementary tools for assessing the main critical issues and opportunities of an economy. 3. Autonomy of judgement: knowing how to identify the main relationships of the economic system in order to grasp its logic and explain it according to different theoretical approaches and with a critical capacity. 4. Communication skills: learning analytical rigour with the use of formulae and graphs and with the illustration of logical connections. 5. Learning ability: a condition for successful learning is the ability to independently and critically reconstruct introductory notions of political economy.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

Learning objectives

"RAINING OBJECTIVES: The teaching will be oriented towards solving problems, analyzing and assessing risks, planning suitable prevention and protection interventions, paying attention to in-depth analysis based on the different levels of risk.

EXPECTED LEARNING RESULTS

1) Knowledge and understanding (knowledge and understanding):
It will allow the acquisition of knowledge / skills to: - identify the dangers and assess the risks present in the workplace, including ergonomic and work-related stress risks; - identify the specific prevention and protection measures for the sector, including PPE, with reference to the specific nature of the risk and the work activity; - help identify adequate technical, organizational and procedural safety solutions for each type of risk.
2) Applying knowledge and understanding; possibility to apply knowledge in all work environments, with understanding of the technical and regulatory terms of workplace safety. Furthermore, ability to manage both training projects and technical assessments.
3) Autonomy of judgment (making judgments); Understanding if the technical and / or legislative settings have been carried out in a workmanlike manner within the company, and knowing how to manage the non-conformities present both from a technical and legal point of view.
4) Communication skills; Ability to relate also through the design of appropriate training courses.
5) Ability to learn (learning skills): verify learning also through work groups on specific topics.
Invia commenti
Cronologia
Salvate
Community
"

Teacher's Profile

courseProgram

Risk assessment such as:
a) prevention planning process;
b) knowledge of the business organization system as a basis for the identification and analysis of risks c) development of methods for controlling the effectiveness and efficiency of the safety measures taken over time.
• The system of relations: RLS, M.C., workers, employer, public bodies, suppliers, self-employed workers, contractors, etc. ..
• Communication management in different work situations,
• Methods, techniques and tools of communication,
• Management of business meetings and periodic meetings,
• Negotiation and management of trade union relations.
• Elements of understanding and differentiation between stress, mobbing and burn-out,
• Occupational consequences of the risks from these phenomena on organizational efficiency, on the safety behavior of the worker and on his state of health,
• Tools, methods and measures of prevention, • Analysis of didactic needs
• The safety management system: UNI-INAIL guidelines, integration and comparison with norms and standards (OSHAS 18001, ISO, etc.)
• The process of continuous improvement
• Integrated organization and management of technical-administrative activities (specifications, administrative paths, economic aspects).
• The ergonomic approach in organizing workplaces and equipment,
• The ergonomic approach in business organization,
• Organization as a system: principles and properties of systems.
• From risk assessment to preparation of information and training plans in the company (Legislative Decree 626/94 and other European directives).
• Sources of information on occupational health and safety.
• Methods for correct information in the company (meetings, specific working groups, conferences, information seminars, etc…).
Information tools on health and safety at work (circulars, posters, brochures, audiovisuals, notices, news, network systems, etc.).
• Elements of didactic design:
- analysis of training needs;
- definition of didactic objectives,
- choices of contents according to the objectives,
- teaching methodologies,
- systems for evaluating the results of in-company training.
Microclimate and risk assessment
Illumination and risk assessment

examMode

The examination takes place in the forms established by art. 23 of the University Didactic Regulations. In the evaluation of the test and in the attribution of the final grade, the following will be taken into account: the level of knowledge of the contents demonstrated, the ability to apply theoretical concepts, the ability to analyze, synthesize and interdisciplinary connections, the ability of critical sense and formulation of judgments, of the mastery of expression. The exam consists of an oral test. During the test, the level of knowledge acquired on the topics covered in the course, the ability of the candidate to critically apply this knowledge to the problems and case studies addressed, as well as the effectiveness and clarity in the presentation will be assessed.

books

Lecture notes and lecture notes (available online).

mode

----------------------------------------------

classRoomMode

in room on the didattic matertials in the whole program

bibliography

Lecture notes and lecture notes (available online).

Learning objectives

"The fundamental objective of the ""Renewable Energy: Processes and Technologies"" course is to provide the student with the knowledge and technical and practical skills for the design and development of plant solutions aimed at producing energy that can be used for both civil and industrial purposes, also in relation to the renewable energy sector. The expected learning outcomes are the knowledge of both theoretical and practical notions associated with the energy cycle, the types of fossil fuels compared to those from renewable sources with obvious references to the dynamics of environmental pollution, biomass, biochemical processes of energy production (biochemical processes, in particular anaerobic digestion with biogas upgrading and thermochemical processes, in particular the gasification process), geothermal energy with low enthalpy plants, solar energy (both thermal and photovoltaic), bioliquids and biofuels, wind energy and hydroelectricity. In addition, the practical tools typically required in the context of the implementation / identification of strategies for integrated systems for the production of energy in the industrial sector (for example for sustainable industrial districts) will be discussed.
Therefore, the expected learning outcomes include the knowledge and development of a critical sense in terms of the ability to identify the parameters associated with the operation of the aforementioned equipment and systems in order to optimize their operation both in the sizing phase and in the activities (if possible) in relation to the requests of the final user, thus developing a critical sense from a technical point of view, as well as understanding the meaning of the technical terminology used in the renewable energy plant sector, in relation to technologies and processes. At the end of the course, the student will have practical and theoretical notions relating to the main types of plants for the exploitation of renewable energy sources, strengthening the skills already developed in the three-year degree course and having the ability to solve problems relating to issues, including new ones or which require multidisciplinary approaches, in any case deriving from the sector under study. At the end of the course, the student will be able to communicate their conclusions clearly and unambiguously to specialist and non-specialist interlocutors operating in the renewable plant engineering sector. In addition, the expected results include the student's development of a learning ability that allows him to deepen the issues addressed independently, adapting to the needs he will encounter in the workplace."

Teacher's Profile

courseProgram

48 hours Course, divided into the following topics:
Classification of fuels (2h).
Energy sources and RES (2h).
Environmental pollution (2h).
Energy balance (2h).
Biomasses (2h).
Anaerobic digestion and related exercise (4h).
Biofuels (2h).
Thermochemical processes and related exercise (4h).
Solar energy: solar thermal and PV plants and related exercise (4h).
Geothermal energy and related exercise (4h).
Wind energy and related exercise (4h).
Hydraulic energy and related exercise (4h).
Compound Parabolic Concentrators: applications and R&D activities (3h).
COMSOL Multiphysics case study (numerical simulation for engineering) (3h).
Theory and exercise final overview (6h).

examMode

The final mark is assigned by written test (n.2 RES plant sizing exercise and n.1 theory question to be answered). The minimum mark required to pass the exam is fixed to 18/30.

books

Slides and lecture notes.

mode

The course is based on both practical (exercises and plants sizing procedures) and theory lessons. Theoretical notions are illustrated to students during lectures, through audio-visual aids and the blackboard. During the course there will be exercises carried out on the blackboard for the sizing of the equipment and plant components as referenced in lecture notes. In terms of practical application, 3 hours are referred to multiphysics simulation by software of the processes and equipments as discussed by the exercises and lecture notes.

classRoomMode


The course will take place in person or remotely on an online platform, following the emergency and anti-COVID measures.

bibliography

Slides and lecture notes.

Learning objectives

"EDUCATIONAL AIMS:
The course aims to develop language skills at an intermediate level (B2 in The Common European Framework of Reference for Languages), focusing on building grammatical and lexical foundations.

LEARNING OUTCOMES:
The student can:
- understand texts that consist mainly of high-frequency everyday or job-related language;
- understand the description of events, feelings, and wishes in personal letters;
- understand the main points of clear standard speech on familiar matters;
- enter into a conversation on topics that are familiar, of personal interest or pertinent to everyday life;
- connect phrases in a simple way in order to describe experiences and events, his/her dreams, hopes and ambitions;
- briefly give reasons and explanations for opinions related to scientific topics as well;
- write simple connected text on topics that are familiar or of personal interest;
- write personal letters describing experiences and impressions, and short stories sticking to specific hints.
"

Learning objectives


"The fundamental objective of the Materials Science Laboratory course is to provide the student with knowledge of laboratory methods useful for the characterization of materials of interest in industrial engineering, such as metals and alloys, composites, polymers.
The expected learning outcomes are:
1) know the definitions of the main quantities in spectroscopy and in optical and electron microscopy;
2) know the principles and applications of the treated techniques: spectroscopy, optical and electronic microscopy, mechanical tests, hardness measurements, contact angle and other surface properties;
3) understand the meaning of surface and structural properties of materials;
4) understand the functioning of laboratory instruments for the characterization of materials and their chemical-physical and surface properties
5) understand the significance of the experimental results obtained with the above techniques
6) knowing how to apply the acquired knowledge to the study of a specific material among those covered in the course
7) autonomy of judgment in choosing the most appropriate method of analysis for a certain type of material
8) communication skills in presenting the topics covered
9) learning skills are assessed during the practical tests that take place within the course"

Teacher's Profile

courseProgram

Spectroscopic techniques for the investigation of metal materials. Characterization of the metal alloys. Spectroscopic methods for the study of polymers.
Optical and electronic miscopy techniques for the investigation of metals and metal alloys.
Durability evaluation for polymers based on artificial ageing tests.
Color measurements for evaluating the surface properties of materials and possible variations due to exposure to environmental factors.

examMode

The exam is based on an aptitude test that focuses on the entire program of the course and is aimed at evaluating the suitability for obtaining the 3 credits attributed to the course; to be admitted online booking is mandatory through the University portal.
The test consists of 15 multiple choice questions. These questions are drawn by a large group of questions (about 120) given to students at the end of the course.
The exam is considered passed if a minimum of 9 out of 15 correct answers are given.potential offered by diagnostics in the field of conservation and that he is able to plan an investigation plan in the case of a restoration.

books

William F. Smith, Javad Hashemi, Scienza e tecnologia dei materiali. con eserciziario, McGraw Hill, 2016
A. Napoli, C. Pelosi, V. Vinciguerra, Principi di analisi spettroscopica, Aracne editrice, Roma, 2016
Lecture notes provided by the teacher on Moodle platform

mode

The course includes classroom exercises on presentations relating to the instruments used for the characterization of the main materials of interest in materials science
The use of portable spectroscopic techniques is envisaged to characterize metal alloys and polymeric materials.
Hours dedicated to frontal teaching, necessary to explain the theoretical and operating principles of the instruments used in the practical part: 8.
Hours dedicated to practical part, in the classroom: 16

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the practical training in the classroom or remotely, when available.

bibliography

William F. Smith, Javad Hashemi, Scienza e tecnologia dei materiali, con eserciziario, McGraw Hill, 2016
William D. Callister Jr., David G. Rethwisch. Scienza ed Ingegneria dei Materiali, EdiSES, Napoli, ed. 2019

Learning objectives

EARNING OUTCOMES: The course aims to provide an essential preparation on the conditions of existence of business administrations, the criteria governing their conduct, and the tools for measuring their results.
KNOWLEDGE AND UNDERSTANDING: At the end of the course the student must demonstrate that she/he has learned both issues of a mainly theoretical nature - regarding the company, its functioning and the relationship it establishes with its general and task environment - as well as operational issues, related to the estimation of income and book value.
APPLYING KNOWLEDGE AND UNDERSTANDING: The student must be able to recognize the various types of companies, to understand the roles of the people who work there and identify the parts that make up their structure. Furthermore, the student must be able to quantify the effect that the main management operations have on the capital, on the result of the period and on the internal equilibrium.
MAKING JUDGEMENTS: At the end of the course, the student will be able to understand the company and its functioning as well as the opportunity to undertake certain management operations in relation to the effects that the main management operations have on the qualitative and quantitative composition of the capital and the result. financial year and, more generally, on internal balances.
COMMUNICATION SKILLS: Knowledge of the general and operational part of the course will allow the student to acquire the technical language of the subject.
LEARNING SKILLS: At the end of the course, the student will be able to understand the basic issues of business economics that will allow her/him to read documents or participate in debates with business content.

Teacher's Profile

courseProgram

The course is structured in two parts (general and applied). The first part focuses on analyzing the characteristics of company operations, their structures, and the specific conditions that shape their institutional and managerial structures. The second part introduces the student to the application of the basic concepts to different business contexts and acquiring technical tools that will equip learners to evaluate business performance.

GENERAL SECTION
The economic entity on the objective and subjective level

• The origin of business administration: needs, goods, and value
• Meaning, evolution, and interpretation of the business administration concept
• The conditions of existence, the characters of the business administration, and its classifications
• The function of the business administration, its aims, and management
• Business activities and organisation
• The subjects within the business administration: legal and economic subjects
• Strategies

OPERATIONAL SECTION
The economic and financial dimensions of management
• The notion of corporate assets, liabilities, and equity
• Qualitative and quantitative analysis of the corporate net assets
• The accrual basis and the cash basis of accounting
• The different measures of the capital under the hypotheses of going concern and liquidation
• The analysis of the profitability and of liquidity of the firm using the ratios
• Cost accounting
• The financial dimension of the business management (Requirement assessment, self-financing, cash flow)

examMode

The exam is written and oral.
The written test includes the following verification:
- knowledge of the general section of the course using open and closed questions (10 points)
- knowledge of the applied section of the course, through: (a) an open-ended question on capital and income; (b) an open-ended question with practical implications (e.g., cost analysis, evaluation of economic capital, ratios, self-financing, etc.) (5 points).
For the oral exam, the student must prepare a project, to be agreed upon with the professor, on one of the parts of the program, to demonstrate application ability of business-economics concepts in their field of study (10 points).
In the oral test, after the project discussion, the student will have to answer 2 or 3 questions related to topics concerning the entire program of the subject.

books

1) G. Catturi, Principi di economia aziendale, Cedam, Padova, 7th edition 2021 (Section A: lessons 1, 2, 8; Section B: lessons 9, 10, 12, 15, 16 e 20; Section C: Lessons 22, 23, 24, 28 & 31).

2) E. Cavalieri - R. Franceschi Ferraris, Economia Aziendale, Vol. I, Attività aziendale e processi produttivi, Giappichelli, Torino, 2010, 4th edition (Section II, Chapters 3 & 5).

3) Teaching materials available on the Moodle course website

classRoomMode

Lesson attendance is not compulsory. However, considering that teaching will be organized to ensure the centrality of the active role of the student, participation in classes is strongly recommended

bibliography

Airoldi, Brunetti, Coda, Corso di Economia aziendale, Il Mulino, 2020
Brusa, Lezioni di economia aziendale, Giappichelli, Torino, 2013
Capaldo P., Reddito e capitale nell’economia dell’impresa, Giuffrè, Milano, 2013
Capaldo P., L’azienda centro di produzione, Giuffrè, Milano, 2013
D’Amico E., Etica, economia, impresa, Giappichelli, Torino, 2021
Fiori, Tiscini, Economia aziendale, Egea, Milano, 2020
Giunta, Economia aziendale, Quarta edizione, Wolters Kluwer, 2022
Zanda, Fondamenti di economia aziendale, Giappichelli, Torino, 2015

Teacher's Profile

courseProgram

The course is structured in two parts (general and applied). The first part focuses on analyzing the characteristics of company operations, their structures, and the specific conditions that shape their institutional and managerial structures. The second part introduces the student to the application of the basic concepts to different business contexts and acquiring technical tools that will equip learners to evaluate business performance.

GENERAL SECTION
The economic entity on the objective and subjective level

• The origin of business administration: needs, goods, and value
• Meaning, evolution, and interpretation of the business administration concept
• The conditions of existence, the characters of the business administration, and its classifications
• The function of the business administration, its aims, and management
• Business activities and organisation
• The subjects within the business administration: legal and economic subjects
• Strategies

OPERATIONAL SECTION
The economic and financial dimensions of management
• The notion of corporate assets, liabilities, and equity
• Qualitative and quantitative analysis of the corporate net assets
• The accrual basis and the cash basis of accounting
• The different measures of the capital under the hypotheses of going concern and liquidation
• The analysis of the profitability and of liquidity of the firm using the ratios
• Cost accounting
• The financial dimension of the business management (Requirement assessment, self-financing, cash flow)

examMode

The exam is written and oral.
The written test includes the following verification:
- knowledge of the general section of the course using open and closed questions (10 points)
- knowledge of the applied section of the course, through: (a) an open-ended question on capital and income; (b) an open-ended question with practical implications (e.g., cost analysis, evaluation of economic capital, ratios, self-financing, etc.) (5 points).
For the oral exam, the student must prepare a project, to be agreed upon with the professor, on one of the parts of the program, to demonstrate application ability of business-economics concepts in their field of study (10 points).
In the oral test, after the project discussion, the student will have to answer 2 or 3 questions related to topics concerning the entire program of the subject.

books

1) G. Catturi, Principi di economia aziendale, Cedam, Padova, 7th edition 2021 (Section A: lessons 1, 2, 8; Section B: lessons 9, 10, 12, 15, 16 e 20; Section C: Lessons 22, 23, 24, 28 & 31).

2) E. Cavalieri - R. Franceschi Ferraris, Economia Aziendale, Vol. I, Attività aziendale e processi produttivi, Giappichelli, Torino, 2010, 4th edition (Section II, Chapters 3 & 5).

3) Teaching materials available on the Moodle course website

classRoomMode

Lesson attendance is not compulsory. However, considering that teaching will be organized to ensure the centrality of the active role of the student, participation in classes is strongly recommended

bibliography

Airoldi, Brunetti, Coda, Corso di Economia aziendale, Il Mulino, 2020
Brusa, Lezioni di economia aziendale, Giappichelli, Torino, 2013
Capaldo P., Reddito e capitale nell’economia dell’impresa, Giuffrè, Milano, 2013
Capaldo P., L’azienda centro di produzione, Giuffrè, Milano, 2013
D’Amico E., Etica, economia, impresa, Giappichelli, Torino, 2021
Fiori, Tiscini, Economia aziendale, Egea, Milano, 2020
Giunta, Economia aziendale, Quarta edizione, Wolters Kluwer, 2022
Zanda, Fondamenti di economia aziendale, Giappichelli, Torino, 2015

Learning objectives

The course aims to analyse the subject of marketing from the methods and characteristics of the strategy to the operational aspects.
The analysis of marketing in its strategic and operational aspects will be articulated starting from the knowledge of the consumer up to the preparation of the marketing plan.
The student should be able to:
1) Knowledge and understanding: to know and understand the dynamics of marketing and how management can accurately plan its operational levers;
2) Applying knowledge and understanding: practically apply the knowledge acquired to develop marketing plans;
3) Autonomy of judgement (making judgments): having autonomy of judgement and ability to apply marketing methodologies and tools in an independent and original way;
4) Communication skills: to be able to communicate the acquired knowledge also through exercises and project work in comparison with other colleagues;
5) Learning skills: to learn a method of critical analysis and application of marketing tools.

Teacher's Profile

courseProgram

PART ONE - Marketing analysis (consumer behavior; market segmentations; competition; marketing research)
SECOND PART - The strategy (corporate and marketing strategy)
PART THREE - The Marketing mix (decisions relating to the product, price, services, distribution channels, communication and sales network).
PART FOUR - The programming (the marketing plan, CRM, digital marketing, brand and brand equity).

examMode

The final examination is written and will contain a series of questions designed to ascertain the student's theoretical knowledge of the marketing process and its different phases (analytical, strategic and operational).
Two questions will be open-ended where the student will be able to demonstrate a broad knowledge of the topics covered.
Ten questions will be multiple-choice and will allow assessment not only of the theoretical aspects but also of the practical/application understanding of the topics covered.
Open questions will be awarded 10 points each and multiple-choice questions 1 point each.
Any project work carried out by students in the classroom will be assessed and added to the examination paper.

Due to the pandemic, during the period in which the exams will be held electronically, the written test will be replaced by an oral test based on three questions (10 points each) on the topics covered in the programme in which the student must demonstrate that he/she has understood the topics theoretically and practically.

books

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione
SLIDES of the lessons - Available on the student portal divided according to the structure of the reference text

mode

The lessons will be accompanied by case and project analysis.

classRoomMode

Class attendance is optional. However, it is advisable to attend lectures in the classroom or by distance learning where applicable.

bibliography

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione

Teacher's Profile

courseProgram

PART ONE - Marketing analysis (consumer behavior; market segmentations; competition; marketing research)
SECOND PART - The strategy (corporate and marketing strategy)
PART THREE - The Marketing mix (decisions relating to the product, price, services, distribution channels, communication and sales network).
PART FOUR - The programming (the marketing plan, CRM, digital marketing, brand and brand equity).

examMode

The final examination is written and will contain a series of questions designed to ascertain the student's theoretical knowledge of the marketing process and its different phases (analytical, strategic and operational).
Two questions will be open-ended where the student will be able to demonstrate a broad knowledge of the topics covered.
Ten questions will be multiple-choice and will allow assessment not only of the theoretical aspects but also of the practical/application understanding of the topics covered.
Open questions will be awarded 10 points each and multiple-choice questions 1 point each.
Any project work carried out by students in the classroom will be assessed and added to the examination paper.

Due to the pandemic, during the period in which the exams will be held electronically, the written test will be replaced by an oral test based on three questions (10 points each) on the topics covered in the programme in which the student must demonstrate that he/she has understood the topics theoretically and practically.

books

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione
SLIDES of the lessons - Available on the student portal divided according to the structure of the reference text

mode

The lessons will be accompanied by case and project analysis.

classRoomMode

Class attendance is optional. However, it is advisable to attend lectures in the classroom or by distance learning where applicable.

bibliography

"Marketing" J. Paul Peter,James H. jr. Donnelly, Carlo Alberto Pratesi - McGraw-Hill Education - VII Edizione

Learning objectives

The course aims to provide operational management plans both from the perspective of lean techniques and for a strategic vision of the technologies necessary for the production processes of goods and services.
The course provides elements for a strategic vision of technologies and tools for evaluating possible implementation and development options in processes from the economical perspective also.Specifically: knowledge and understanding of the basics of manufacturing and industrial processes and services and Operation Management, applying knowledge and understanding of different kinds of processes and scheduling. making judgments and critical analysis of the studied subjects. communication skills in presenting projects and subjects of the class. learning skills of the basic principles of the methods and techniques of the topics covered by the course.

Teacher's Profile

courseProgram

Process management principles, classic and new strategic parameters of production. production systems: environmental, economic and technological aspects – managing and project concept for optimization in manufacturing and service processes the manufacturing product-process matrix,
Strategic elements into the process management: Design and product development, market implications, productive capacity planning, logistic management - Technology innovation strategy: the make or buy choice – the IP value and evaluation The Technology transfer - Technology evaluation principles, models and techniques
The strategic plan - the aggregate operations plan - Master schedule - Materials management: major objectives - Principles and Tools - Material requirement planning - approach to the Master schedule control operation tools - Introduction to Project Management, principles, techniques and tools
Principles of quality management: models and applications: the customer relationship: customer needs analysis and techniques for the customer satisfaction - quality management and business management integration: quality control and management control - The Quality Management System and the certification process: the application of ISO 9001; the quality system implementation; guidance for the quality audit; the technical audit process

examMode

Oral examination

books

- Tecnologia dei Cicli Produttivi - AA.VV. , F. D'Ascenzo - Ed. Wolters Kluwer 2024
- Materiale fornito in piattaforma

mode

Lessons , project work, seminars

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

- Tecnologia dei Cicli Produttivi - AA.VV. , F. D'Ascenzo - Ed. Wolters Kluwer 2024

Learning objectives

Learning objectives: to provide the knowledge for the description of the phenomena at the basis of food technologies and biotechnologies and their framing in the approach scheme of "Unit Operations".
Expected Learning Outcomes:
1) Knowledge and Ability to Understand: to develop knowledge of the principles underlying unit operations, major unit operations and corresponding equipment.
2) Applied knowledge and understanding: to know how to make block diagram of processes and use quantitative methods of computation to solve exercises related to food and biotechnological systems, with particular reference to macroscopic matter and energy balances.
3) Autonomy of judgment: to know how to independently collect, select and evaluate information necessary for the analysis and resolution of problems related to unit operations in food and biotechnology;
4) Communication Skills: to know how to communicate information, ideas, problems and solutions related to unit operations in the food and biotechnology industry to both specialist and non-specialist audiences;
5) Learning skills: to develop those learning skills that will allow for continued independent or partially guided study of unit operations.

Teacher's Profile

courseProgram

Rheology of food and biotechnological products. Transport of liquids. Thermal death and thermal damage kinetics. Macroscopic mass balances under stationary and non-stationary conditions. Energy balance. Application of the macroscopic energy and mass balance to food and biotechnological systems. Mass transfer. Heat transfer under non-stationary conditions (heat penetration curve). Heat exchangers. Thermal treatments and relative devices. Concentration by evaporation.

examMode

The final exam consists of a written test related to the resolution of three numerical exercises and an oral test consisting of three questions on the topics covered. The tests will verify: the basic knowledge related to unit operations and to the corresponding equipment; the ability to realize block diagrams of processes and to use quantitative computer methods to solve problems in the food sector; the ability to collect, select and evaluate in an autonomous way the necessary information for the analysis and the resolution of problems; the communication skills; the ability to learn in an autonomous or partially guided way. Each exercise/question will be evaluated with a score between 0 and 10. The final grade of the written/oral test will be given by the sum of the scores of the single exercises/questions. The student will be admitted to the oral test only if a score of at least 18 in the written test is obtained. The final grade will be given by the average score of the written test and the oral test.

books

R. Paul Singh, Dennis R. Heldman. Principi di Tecnologia Alimentare. Casa Editrice Ambrosiana.

mode

The course consists of 24 frontal lectures of 2 hours each.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

P. Masi. Ingegneria alimentare. Modelli predittivi della tecnologia alimentare. Doppiavoce.
P. Masi. Esercitazioni di ingegneria alimentare. Guida alla risoluzione dei problemi. Doppiavoce.
Dario Friso, Mario Niero. Operazioni Unitarie dell’Ingegneria Alimentare. Modelli Fisici e Matematici, Macchine e Impianti. Cleup, 2010.
Claudio Peri, Bruno Zanoni. Manuale di Tecnologie Alimentari I-IV. CUSL.
Carlo Pompei. Operazioni unitarie della tecnologia alimentare. Casa Editrice Ambrosiana.

Teacher's Profile

courseProgram

Rheology of food and biotechnological products. Transport of liquids. Thermal death and thermal damage kinetics. Macroscopic mass balances under stationary and non-stationary conditions. Energy balance. Application of the macroscopic energy and mass balance to food and biotechnological systems. Mass transfer. Heat transfer under non-stationary conditions (heat penetration curve). Heat exchangers. Thermal treatments and relative devices. Concentration by evaporation.

examMode

The final exam consists of a written test related to the resolution of three numerical exercises and an oral test consisting of three questions on the topics covered. The tests will verify: the basic knowledge related to unit operations and to the corresponding equipment; the ability to realize block diagrams of processes and to use quantitative computer methods to solve problems in the food sector; the ability to collect, select and evaluate in an autonomous way the necessary information for the analysis and the resolution of problems; the communication skills; the ability to learn in an autonomous or partially guided way. Each exercise/question will be evaluated with a score between 0 and 10. The final grade of the written/oral test will be given by the sum of the scores of the single exercises/questions. The student will be admitted to the oral test only if a score of at least 18 in the written test is obtained. The final grade will be given by the average score of the written test and the oral test.

books

R. Paul Singh, Dennis R. Heldman. Principi di Tecnologia Alimentare. Casa Editrice Ambrosiana.

mode

The course consists of 24 frontal lectures of 2 hours each.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

P. Masi. Ingegneria alimentare. Modelli predittivi della tecnologia alimentare. Doppiavoce.
P. Masi. Esercitazioni di ingegneria alimentare. Guida alla risoluzione dei problemi. Doppiavoce.
Dario Friso, Mario Niero. Operazioni Unitarie dell’Ingegneria Alimentare. Modelli Fisici e Matematici, Macchine e Impianti. Cleup, 2010.
Claudio Peri, Bruno Zanoni. Manuale di Tecnologie Alimentari I-IV. CUSL.
Carlo Pompei. Operazioni unitarie della tecnologia alimentare. Casa Editrice Ambrosiana.

Learning objectives

The course aims at introducing the students to a general knowledge of dynamic systems, their modeling and their properties, focusing on their stability properties, observability properties and controllability properties. Moreover, the course aims at providing a good enough knowledge to design control systems for dynamic processes.
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Learning objectives

"In the last decade, Artificial Intelligence (AI) has had a disruptive impact within the scientific landscape, emerging as a technology capable of solving problems that were once considered insurmountable in a “simple” way, until permeating many aspects of our daily lives. However, even today, few people fully understand what AI truly is, even within scientific and technological contexts, where it is often used without a thorough understanding of its potential, achieved results, and risks.
The course aims to comprehensively introduce and deepen students' understanding of this technology, from its definition and uses to the theoretical and practical aspects that define it. Upon completion of the course, students will not only know how to apply the most efficient AI techniques and models, but also understand them deeply and interpret their implications.
The first part of the course will delve into theoretical aspects of probability and statistics underlying AI. This will be followed by a second part introducing the basics of artificial intelligence, along with digital tools currently available for operational use. This section will further be divided into two parts: the first focusing on machine learning techniques and algorithms, and the second on neural networks and deep learning.
Throughout the course, seminars by industry and research experts will be held to showcase current applications of data analysis across various fields.

The expected knowledge objectives are:
1) the knowledge of the contents of the course (Dublin descriptor n°1);
2) the capability to apply such a knowledge to real problems competence in presenting technical topics (Dublin descriptor n°2);
3) the autonomy of judgment in proposing the most appropriate approach to solve a problem (Dublin descriptor n°3);
4) the ability to expose problems and solutions within the topics of the course by using a proper language (Dublin descriptor n°4);
5) the development of logical skills, useful to improve self-evaluation and self-learning (Dublin descriptor n°5).
"

Teacher's Profile

courseProgram

• Introduction to the course (2h): – Lessons + Seminars
o Artificial intelligence definition/s and algorithm types
o Artificial intelligence history, from the first inventions to the state-of-the-art
o Uses, benefits, criticalities and issues of artificial intelligence
• Fundamentals of statistics and probability (6h) – Lessons
o Basic concepts of statistics and combinatorics
o Basic concepts of probability
o Marginal, joint and conditioned probability and events independence
o Bayes Theorem and Total Probability Theorem
o Composed and iterated experiments
o Introduction to random variables
o Continuous and discrete variables
o Distribution and probability density/mass functions
o Notable random variables
o Trasformations of random variables
o Characteristic parameters of random variables
o Systems of random variables
o Characteristic parameters of random variables systems
• Machine Learning (16h): – Lessons + Matlab and Python laboratory + Seminars
o Introduction to AI utilization
o Data inference, training, validation and testing
o Issues in using AI: bias and overfitting.
o PCA
o K-Means and Hierarchical Clustering
o Naïve Bayes classifier and anti-spam filters
o Lineare and logistic regression
o k-NN classifier
o SVM
o Decision/regression tree and Random Forest
o Boosting methods: ADABoost, Gradient Boosting Machines (XGBoost)
• Fundamentals of neural networks and deep learning (14h): Lessons + Matlab and Python laboratory + Seminars
o Introduction to alle neural networks
o Artificial neuron and perceptron
o Neural network parameters and hyperparameters
o Activation function (sigmoid, ReLu, softmax)
o Feedforward networks and training: loss function, optimization algorithm, backpropagation algorithm
o Overfitting and regularization
o Recurrent neural networks(RNN)
o Convolutional neural networks (CNN)
o Basics of the state-of-the-art deep learning techniques and of reinforcement learning.

examMode

The exam will consist of:
1. a written part, which will mainly focus on statistics and probability;
2. a practical part, consisting of developing scripts for solving tasks using machine and deep learning techniques and algorithms;
3. an oral part, which will cover the theoretical topics of the entire course.
The written test or the practical test may not be present in all exam sessions. However, the exam will always include at least one of either the written or practical test and the oral test.

books

- "Teoria della probabilità e variabili aleatorie, con applicazioni all’ingegneria e alle scienze", di A. Bononi e G. Ferrari, ed. Esculapio, 2008.
- "Algoritmi per I’intelligenza artificiale”, di R. Marmo, ed. Hoepli, 2020.
- "Artificial intelligence: a modern approach" 4th ed., di S. Russel, P. Norvig, ed. Global Edition.
- “Hands-on machine learning with Scikit-learn, Keras & TensorFlow” 2nd ed., di A. Géron, O’Reilly ed.
- “Neural Networks and Deep Learning: a Textbook”, di C.C. Aggarwal, ed. Springer.

mode

The lessons will be both theoretical/discursive and practical (computer programming). Regular lecture hours will be alternated with tutorial sessions.
At the discretion of the instructor, participation in seminars held by industry experts will be encouraged.
All lessons will be streamed live and recorded to ensure that every student can participate remotely, both synchronously and asynchronously, and to allow for reviewing explanations multiple times. However, attending in-person classes is strongly recommended.

classRoomMode

Attendance of the course is optional

bibliography

Teaching materials provided by the lecturer.

Learning objectives

The fundamental objective of the "Renewable Energy: Processes and Technologies" course is to provide the student with the knowledge and technical and practical skills for the design and development of plant solutions aimed at producing energy that can be used for both civil and industrial purposes, also in relation to the renewable energy sector. The expected learning outcomes are the knowledge of both theoretical and practical notions associated with the energy cycle, the types of fossil fuels compared to those from renewable sources with obvious references to the dynamics of environmental pollution, biomass, biochemical processes of energy production (biochemical processes, in particular anaerobic digestion with biogas upgrading and thermochemical processes, in particular the gasification process), geothermal energy with low enthalpy plants, solar energy (both thermal and photovoltaic), bioliquids and biofuels, wind energy and hydroelectricity. In addition, the practical tools typically required in the context of the implementation / identification of strategies for integrated systems for the production of energy in the industrial sector (for example for sustainable industrial districts) will be discussed.
Therefore, the expected learning outcomes include the knowledge and development of a critical sense in terms of the ability to identify the parameters associated with the operation of the aforementioned equipment and systems in order to optimize their operation both in the sizing phase and in the activities (if possible) in relation to the requests of the final user, thus developing a critical sense from a technical point of view, as well as understanding the meaning of the technical terminology used in the renewable energy plant sector, in relation to technologies and processes. At the end of the course, the student will have practical and theoretical notions relating to the main types of plants for the exploitation of renewable energy sources, strengthening the skills already developed in the three-year degree course and having the ability to solve problems relating to issues, including new ones or which require multidisciplinary approaches, in any case deriving from the sector under study. At the end of the course, the student will be able to communicate their conclusions clearly and unambiguously to specialist and non-specialist interlocutors operating in the renewable plant engineering sector. In addition, the expected results include the student's development of a learning ability that allows him to deepen the issues addressed independently, adapting to the needs he will encounter in the workplace.

Teacher's Profile

courseProgram

48 hours Course, divided into the following topics:
Classification of fuels (2h).
Energy sources and RES (2h).
Environmental pollution (2h).
Energy balance (2h).
Biomasses (2h).
Anaerobic digestion and related exercise (4h).
Biofuels (2h).
Thermochemical processes and related exercise (4h).
Solar energy: solar thermal and PV plants and related exercise (4h).
Geothermal energy and related exercise (4h).
Wind energy and related exercise (4h).
Hydraulic energy and related exercise (4h).
Compound Parabolic Concentrators: applications and R&D activities (3h).
COMSOL Multiphysics case study (numerical simulation for engineering) (3h).
Theory and exercise final overview (6h).

examMode

The final mark is assigned by written test (n.2 RES plant sizing exercise and n.1 theory question to be answered). The minimum mark required to pass the exam is fixed to 18/30.

books

Slides and lecture notes.

mode

The course is based on both practical (exercises and plants sizing procedures) and theory lessons. Theoretical notions are illustrated to students during lectures, through audio-visual aids and the blackboard. During the course there will be exercises carried out on the blackboard for the sizing of the equipment and plant components as referenced in lecture notes. In terms of practical application, 3 hours are referred to multiphysics simulation by software of the processes and equipments as discussed by the exercises and lecture notes.

classRoomMode


The course will take place in person or remotely on an online platform, following the emergency and anti-COVID measures.

bibliography

Slides and lecture notes.

Learning objectives

A) TRAINING OBJECTIVES To provide the basic analytical tools to understand the functioning of the economic-financial system and the role of households, businesses, the state, banks and the rest of the world, presenting economic science as a social science characterised by a plurality of theoretical positions. B) EXPECTED LEARNING OUTCOMES 1. Knowledge and ability to understand: knowledge of economic theories and policies to understand the main issues of contemporary economics. 2. Ability to apply knowledge and understanding: learning the elementary tools for assessing the main critical issues and opportunities of an economy. 3. Autonomy of judgement: knowing how to identify the main relationships of the economic system in order to grasp its logic and explain it according to different theoretical approaches and with a critical capacity. 4. Communication skills: learning analytical rigour with the use of formulae and graphs and with the illustration of logical connections. 5. Learning ability: a condition for successful learning is the ability to independently and critically reconstruct introductory notions of political economy.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

Teacher's Profile

courseProgram

Growth, economic development, human development
Capitalist development and its phases
Origins and history of underdevelopment
Developing and least developed countries
Division of Labour and Economic Development
Innovation and Economic Development in a Secular Perspective
Labor productivity, economies of scale and External Economies
Unemployment, Cyclical Development and Crisis
Economic Development and Changes
Economic Development and International Relations
Human Development and Inequalities
Ecological aspects of Development
Innovative, Sustainable and Inclusive Growth
Mainstream Growth Models
PostKeynesian Growth Models
The detailed program and any supplementary teaching material will be available during the course.

examMode

The assessment aims to verify students' acquisition of theoretical knowledge and analytical tools to understand today's economic reality.
The exam consists of a written test and an oral interview.
The written test consists of 3 open questions.
In the oral interview the corrections made by the professor are illustrated and the topics of the written test can be studied in depth.

books

The teaching material will be available during the course.

classRoomMode

During the lesson the theoretical concepts will be illustrated also through the proposal of numerical examples and real cases.

bibliography

The teaching material will be available during the course.

Learning objectives

"RAINING OBJECTIVES: The teaching will be oriented towards solving problems, analyzing and assessing risks, planning suitable prevention and protection interventions, paying attention to in-depth analysis based on the different levels of risk.

EXPECTED LEARNING RESULTS

1) Knowledge and understanding (knowledge and understanding):
It will allow the acquisition of knowledge / skills to: - identify the dangers and assess the risks present in the workplace, including ergonomic and work-related stress risks; - identify the specific prevention and protection measures for the sector, including PPE, with reference to the specific nature of the risk and the work activity; - help identify adequate technical, organizational and procedural safety solutions for each type of risk.
2) Applying knowledge and understanding; possibility to apply knowledge in all work environments, with understanding of the technical and regulatory terms of workplace safety. Furthermore, ability to manage both training projects and technical assessments.
3) Autonomy of judgment (making judgments); Understanding if the technical and / or legislative settings have been carried out in a workmanlike manner within the company, and knowing how to manage the non-conformities present both from a technical and legal point of view.
4) Communication skills; Ability to relate also through the design of appropriate training courses.
5) Ability to learn (learning skills): verify learning also through work groups on specific topics.
Invia commenti
Cronologia
Salvate
Community
"

Teacher's Profile

courseProgram

Risk assessment such as:
a) prevention planning process;
b) knowledge of the business organization system as a basis for the identification and analysis of risks c) development of methods for controlling the effectiveness and efficiency of the safety measures taken over time.
• The system of relations: RLS, M.C., workers, employer, public bodies, suppliers, self-employed workers, contractors, etc. ..
• Communication management in different work situations,
• Methods, techniques and tools of communication,
• Management of business meetings and periodic meetings,
• Negotiation and management of trade union relations.
• Elements of understanding and differentiation between stress, mobbing and burn-out,
• Occupational consequences of the risks from these phenomena on organizational efficiency, on the safety behavior of the worker and on his state of health,
• Tools, methods and measures of prevention, • Analysis of didactic needs
• The safety management system: UNI-INAIL guidelines, integration and comparison with norms and standards (OSHAS 18001, ISO, etc.)
• The process of continuous improvement
• Integrated organization and management of technical-administrative activities (specifications, administrative paths, economic aspects).
• The ergonomic approach in organizing workplaces and equipment,
• The ergonomic approach in business organization,
• Organization as a system: principles and properties of systems.
• From risk assessment to preparation of information and training plans in the company (Legislative Decree 626/94 and other European directives).
• Sources of information on occupational health and safety.
• Methods for correct information in the company (meetings, specific working groups, conferences, information seminars, etc…).
Information tools on health and safety at work (circulars, posters, brochures, audiovisuals, notices, news, network systems, etc.).
• Elements of didactic design:
- analysis of training needs;
- definition of didactic objectives,
- choices of contents according to the objectives,
- teaching methodologies,
- systems for evaluating the results of in-company training.
Microclimate and risk assessment
Illumination and risk assessment

examMode

The examination takes place in the forms established by art. 23 of the University Didactic Regulations. In the evaluation of the test and in the attribution of the final grade, the following will be taken into account: the level of knowledge of the contents demonstrated, the ability to apply theoretical concepts, the ability to analyze, synthesize and interdisciplinary connections, the ability of critical sense and formulation of judgments, of the mastery of expression. The exam consists of an oral test. During the test, the level of knowledge acquired on the topics covered in the course, the ability of the candidate to critically apply this knowledge to the problems and case studies addressed, as well as the effectiveness and clarity in the presentation will be assessed.

books

Lecture notes and lecture notes (available online).

mode

----------------------------------------------

classRoomMode

in room on the didattic matertials in the whole program

bibliography

Lecture notes and lecture notes (available online).

Learning objectives

"Learning objectives (according to the Dublin descriptors): The teaching of ""Complements of Kinematics and Dynamics"" will introduce student engineers to the principles and methods of Applied Mechanics of Machines in order to acquire knowledge of the fundamental laws governing the operation of mechanical devices and machines.
The objective will be to provide students with the ability to decompose machines into elementary components made up of rigid bodies, to give them the tools to be able to describe and critically analyse kinematics, static and dynamic actions acting in mechanical systems and the resulting motion. To provide knowledge of how to test and design plane and space mechanisms for understanding the functioning of the main machine organs. Equip student engineers with the basic elements that constitute the theoretical minimum for modelling and analysing the operation of a machine.
Expected Learning Outcomes - Knowledge and Understanding: The course aims to provide the knowledge of Kinematics and Dynamics aimed at setting up, simulating and evaluating the design and modelling of mechanical systems. - Ability to Apply Knowledge and Understanding: The student will be able to: a) Propose and interpret the results of design solutions. b) Perform the analysis of the kinematic structure and degrees of freedom of mechanisms, identifying the constrained kinematic chains incorporated in larger engineering systems.
c) Calculate velocities and accelerations, by means of kinematic analysis, in articulated mechanisms through analytical and numerical-computational methods recognising direct and inverse problems. d) Apply analytical and numerical-computational procedures in order to solve kinematic design problems (kinematic synthesis) of mechanisms.
e) Set up and simulate mechanical models knowing how to plan, implement and correct computer-aided design tools for the analysis of kinematics and dynamics of constrained mechanical systems using numerical integration and solution methods. f) Know how to synthesise and analyse linear models with multiple degrees of freedom for the analysis of vibrations in mechanical systems.
- Autonomy of Judgement: The student will be able to carry out the setting up and critical examination of models and related simulations. - Communication Skills: To be able to present the results of the development of models and their analysis inherent to mechanical systems using verbal, written and electronic methods (calculation software).
- Learning ability: The learning ability will be developed through the active involvement of students through oral discussions in the classroom and guided design exercises on specific topics inherent to the course. Furthermore, this ability will be stimulated and verified through the assignment of design exercises, to be carried out also through the use of the computer, which will solidify the learning of the fundamental concepts by encouraging student engineers to try their hand at the verification and dimensioning of real mechanical systems."

Teacher's Profile

courseProgram

The detailed educational program is organized into the following main sections:

- Introduction to Mechanical Systems and Mechanisms:

Overview of the historical development of Kinematics and Applied Mechanics.

- Recap of Fundamental Aspects of Linear Algebra, Differential Geometry, and Mathematical Analysis:

Vector algebra. Solution of vector equations. Vector calculus in Euclidean and curvilinear spaces (non-Euclidean, covariant derivative). Geometry of curves and surfaces. Tensor algebra. Introduction to tensor calculus. Matrix algebra. Eigenvalue/eigenvector problems. Lagrange multipliers method for solving constrained systems. Solution of under- and over-determined linear algebra problems. Analytical solution of linear Ordinary Differential Equations (ODE).

- Introduction to Numerical Analysis:

Computer arithmetic (floating-point arithmetic). Numerical solutions for large linear systems: Direct Methods (Gauss-Jordan, Cholesky Factorization, QR Decomposition, Singular Value Decomposition-SVD) and an introduction to Iterative Methods. Algorithms for eigenvalue/eigenvector computation in large linear systems using factorization and iterative methods. Numerical methods for solving nonlinear equations and systems of nonlinear equations: Bisection method, Newton-Raphson method. Introduction to solving nonlinear equations and systems as minimization problems using optimization algorithms: Trust-Region, Levenberg-Marquardt. Numerical solution of ODEs with initial value problems (IVP): Explicit and Implicit Integration, Finite Difference Method, Runge-Kutta methods and step size selection, Newmark’s method.

- Kinematics of a Point Particle and a Rigid Body:

Degrees of freedom of a point particle. Kinematics of a point particle in an inertial reference frame. Kinematics of a point particle in a non-inertial reference frame. Definition of a rigid body. Degrees of freedom of a rigid body. Position and orientation of a rigid body in space. Rotation tensor and its matrix representation. Euler's theorem. Cayley's formula. Rodrigues’ formula. Rodrigues parameters. Euler parameters. Euler angles and Cardan angles. Axis of screw motion (Mozzi’s theorem). Numerical techniques for determining the axis of screw motion. Kinematics of rigid bodies. Axis of instantaneous motion (ISA). Instantaneous centre of accelerations.

- Statics and Dynamics of a Point Particle and a Rigid Body:

Cardinal equation of the statics of particles. Dynamics equation of particles (Newton's equation). Cardinal equations of statics of rigid bodies. Varignon's theorem. First cardinal equation of rigid body dynamics. Angular momentum. Inertia tensor. Mass geometry. Kinetic energy of a rigid body. Angular momentum. Newton-Euler equations. Important applications in the dynamics of rigid bodies.

- Kinematic Structure of Mechanical Systems:

Classification of kinematic pairs and their degrees of freedom. Higher pairs. Introduction to Multibody Systems. Kinematic chains, mechanisms, and their graphical representation. Topological formulas for calculating the degrees of freedom of planar and spatial mechanisms. Basic articulated mechanisms. Various types of mechanisms used in industry.

- Kinematic Analysis of Mechanisms:

Planar motions. Centre of finite rotation. Instantaneous centre of rotation. Aronhold-Kennedy theorem. Graphical methods for kinematic analysis. Kinematic analysis of mechanisms using the constraint equations method. Calculation of a mechanism’s degrees of freedom using the constraint equations method (Hertz-Whittaker formula). Open kinematic chains. Direct and inverse kinematics. Kinematics of infinitesimal motions. Analytical determination of the instantaneous center of rotation. Poles of motion. Flexion circle. Curvature of trajectories (Euler-Savary formula). Stationarity circle. Center of accelerations. Stationary curvature cubic. Burmester points.

- Kinematic Synthesis of Mechanisms:

Introduction to kinematic synthesis. Kinematic synthesis for trajectory generation. Kinematic synthesis for motion generation. Kinematic synthesis for function generation. Applications of kinematic synthesis in basic mechanisms. Transmission angle.

- Introduction to Calculus of Variations:

Variational operations. First variation. Second variation. Fundamental lemma of the calculus of variations. Minimization of functionals depending on single or multiple variables, with derivatives of any order.

- Statics of Multibody Systems: Static analysis of mechanisms using the cardinal equations of statics. The principle of virtual work in statics (Lagrange's principle).

- Dynamics of Multibody Systems: Application of Newton-Euler equations to the dynamics of mechanisms (free-body diagrams). d'Alembert's principle. The principle of virtual work in dynamics (d'Alembert-Lagrange principle). Some variational principles for deriving the dynamics of mechanical systems (Maupertuis, Hamilton). Euler-Lagrange equation. Extension of the Euler-Lagrange equation to constrained mechanical systems. Introduction to dynamic simulation of Multibody Systems.

- Mechanical Vibrations: Linear models with one degree of freedom. Free vibrations. Forced vibrations. Experimental determination of the damping coefficient. Vibration isolation. System response to an impulse. Linear models with multiple degrees of freedom. Decoupling the equations of motion via transformation to modal coordinates. Rayleigh damping. Modal superposition method for transient analysis. Modal superposition method for harmonic analysis. Introduction to spectral analysis. Introduction to rotor dynamics.

examMode

The assessment of learning will be conducted through two methods.
The first, more traditional approach, requires the student to take a written exam, which will cover project-based questions. Consultation of books or notes is not allowed. If the student passes the written exam with a score of at least 18/30, they will be eligible to proceed to the oral exam.
The second method consists of completing a series of individual project-based exercises, which will be evaluated and must be submitted within the academic year in which the course is taught. If these exercises are deemed satisfactory, the student will be allowed to take the oral exam.
The oral exam will cover the entire program, but will focus primarily on understanding the general principles of mechanics and the student's ability to analyze mechanical systems. Additionally, the oral exam will evaluate the student's verbal communication skills and the accuracy of their language.

books

For studying the theory, students can refer to one of the following texts, which also include practical examples:

- Educational material provided by the instructor (handouts).

- N. P. Belfiore, A. Di Benedetto, E. Pennestrì. Fondamenti di meccanica applicata alle macchine. Casa Editrice Ambrosiana (CEA), 2024. ISBN: 9788808220158

- M. Callegari, P. Fanghella, F. Pellicano. Meccanica applicata alle macchine (3rd ed.). CittàStudi, 2022. ISBN: 9788825174397

For practicing the application of theoretical fundamentals of statics and dynamics to practical cases, students can refer to the following text:

- G. Figliolini, C. Lanni. Meccanica Applicata alle Macchine. Applicazioni di dinamica dei sistemi meccanici. Società Editrice Esculapio, 2023. ISBN: 9788893854092

classRoomMode

Attendance for the course is not mandatory.

bibliography

Teaching materials provided by the lecturer.

Learning objectives

The fundamental objective of the "Biofuels Laboratory" course is to provide students with the knowledge and technical and practical skills in the field of biofuel production and the characterization of processes / raw materials according to standard procedures that can be implemented in a laboratory environment. The expected learning outcomes are the knowledge of the criteria and procedures for characterizing biomass and raw materials necessary for the production of biofuels, liquid and gaseous, having the opportunity to interface and assimilate the procedures, the operating principles of the equipment (through direct use at the laboratory) and the technical standards to be respected when experimenting in a biofuel laboratory but also generic, such as the design of experiments (DOE). To these are added the theoretical and practical notions associated with the regulations and incentives currently available to promote the use of biofuels and biofuels, with particular attention paid to the issue of residual biomass and their exploitation. During the course, purely applicative issues relating to multi-physics simulation software will also be addressed, useful for solving complex and multidisciplinary problems in the industrial sector. In addition, the practical tools typically required in the context of control, monitoring and data acquisition for the experimental plants and pilot plants available in the laboratory will be discussed.
Therefore, the expected learning outcomes include the knowledge and development of a critical sense in terms of the ability to identify the parameters associated with the operation of the equipment and systems associated with the production of biofuels, thus developing awareness and mastery of the technical terminology used in the biofuel production sector, in relation to technologies, processes and procedures to be implemented in the laboratory. At the end of the course, the student will have practical and theoretical notions relating to the main types of processes, technologies and plants through which liquid and gaseous biofuels are produced, strengthening the skills already developed in the three-year degree course and having the ability to solve problems related to themes, even new ones or requiring multidisciplinary approaches, in any case deriving from the sector under study. At the end of the course, the student will be able to communicate their conclusions clearly and unambiguously to specialist and non-specialist interlocutors operating in the biofuels sector, having also had the opportunity to interface with the laboratory environment. In addition, the expected results include the student's development of a learning ability that allows him to deepen the issues addressed independently, adapting to the needs he will encounter in the workplace.

Learning objectives

"Based on the thermodynamic fundamentals of Technical Physics, the course provides students with the elementary tools for the analysis, design and operation of energy systems and their main components.

Learning outcomes: Knowledge of power generation systems and the effect of actual operating conditions.
Knowledge of the national electricity system and the operating modes of plants.
Ability to define advantages and criticalities of energy conversion systems.
Ability to calculate the performance of the energy systems presented.
Ability to evaluate and compare fossil and renewable energy conversion technologies
Transversal competences:
Ability to communicate effectively in written and oral form, adaptation of own communication to the context, use of various sources and aids, critical thinking, ability to use, process and evaluate information."

Learning objectives

"Learn the methodologies necessary for the analysis of DC lumped parameter electric circuits. Acquire the basic knowledge required for the analysis of single-phase and three-phase sinusoidal electric circuits. Provide the fundamentals of electrical machines and electrical systems in general.
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).
"

Teacher's Profile

courseProgram

Electromagnetic fields. Lumped parameters electric circuits. Kirchhoff’s laws. Main circuit components: resistors, inductors, capacitors, independent voltage and current generators. Steady-state regime. Resistances connected in parallel and in series. Analysis of steady-state electrical circuits. Kirchhoff equations method. Superposition principle. Thevenin theorem. AC circuits analysis. Symbolic Ohm law and impedance. The symbolic method for the analysis of electric AC circuits. Power in AC circuits. Three-phase systems. Power in three-phase systems.

examMode

The exams will concern the topics of the course program.The complete exam consists of a written test and an oral exam. The written test consists of three exercises concerning: DC or AC Electrical Circuits, Transients in Electric Circuits, Three Phase Networks and Magnetic Circuits. The time available to the written exam is approximately 2 hours. During the written tests, the use of any didactic materials (books, lecture notes) is allowed. The use of a calculator is also allowed, but only for the solution of exercises. To gain access to the oral exam, the candidates must reach a mark greater than or equal to 18/30. Finally, a joint homework will be also assigned during the course and will be discussed during the oral examination.
The written test is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral exam is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n° 1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral test also aims to verify students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n° 4).

books

Lecture Notes and presentations
Giulio Fabricatore, Elettrotecnica e applicazioni, Liguori Editori, 1994
Luigi Verolino, Introduzione alle reti elettriche, EdiSES, 2013
Maurizio Repetto, Sonia Lea, Elettrotecnica. Elementi di Teoria ed Esercizi svolti, Città Studi Editore, 2014

classRoomMode

Attendance of the course is optional

bibliography

Lecture Notes and presentations
Giulio Fabricatore, Elettrotecnica e applicazioni, Liguori Editori, 1994
Luigi Verolino, Introduzione alle reti elettriche, EdiSES, 2013
Maurizio Repetto, Sonia Lea, Elettrotecnica. Elementi di Teoria ed Esercizi svolti, Città Studi Editore, 2014

Learning objectives

"Expected Learning Outcomes:

Knowledge and Understanding: Develop knowledge of maintenance practices, abnormal events, and armament safety.
Ability to Apply Knowledge and Understanding: Gain a solid understanding of abnormal events and armament safety procedures.
Independent Judgment: Develop critical analysis skills and the ability to solve new problems, in line with those discussed in class.
Communication Skills: Discuss the implications of concepts presented in class and explore possible questions that may arise during maintenance practices.
Learning Ability: Be capable of independently expanding knowledge and applying the studied procedures safely."

Learning objectives

"Expected Learning Outcomes:

Knowledge and Understanding: Develop knowledge of maintenance practices, abnormal events, and armament safety.
Ability to Apply Knowledge and Understanding: Gain a solid understanding of abnormal events and armament safety procedures.
Independent Judgment: Develop critical analysis skills and the ability to solve new problems, in line with those discussed in class.
Communication Skills: Discuss the implications of concepts presented in class and explore possible questions that may arise during maintenance practices.
Learning Ability: Be capable of independently expanding knowledge and applying the studied procedures safely."

Learning objectives

"Expected Learning Outcomes:

Knowledge and Understanding: Develop knowledge of typical Aeronautical Electronic/Digital Systems and sensitive devices.
Ability to Apply Knowledge and Understanding: Gain a solid understanding of the functioning of electronic systems and software management.
Independent Judgment: Develop critical analysis skills and the ability to solve new problems, including those discussed in class.
Communication Skills: Discuss the implications of concepts presented in class and explore possible questions that may arise from the topics covered.
Learning Ability: Be capable of independently expanding knowledge."

Learning objectives

The course is designed to elucidate key aspects of Computer Science to students, with a particular emphasis on the functioning of a computer and a data transmission system. To this end, the curriculum entails a comprehensive analysis of foundational integrated circuits within a computer, encompassing both their implementation and operation. Additionally, the course will present the defining attributes of an optical fiber communication system, ranging from the governing physical principles to the components facilitating its realization, including cables, connectors, electro-optical converters, and the like."
The expected learning results consists in:
1) Knowledge and understanding of the touched topics;
2) Application of sknowledge and understanding to real problems in which computer science can be employed;
3) Making judgements independently;
4) Communication skills;
5) Learning and self-learning skills.

Teacher's Profile

courseProgram

Numbering systems,
Data Conversion,
Fundamental Structure of the Computer,
Microprocessors,
Integrated Circuits,
Fiber Optics

examMode

the objective of the written exam is to verify that the student has understood all the theoretical concepts seen in class

books

EASA_module 5 - digital techniques electronic instrument systems

mode

Frontal lecture supported

classRoomMode

Eight hours per week divided into two days (4 h + 4h)

bibliography

Teaching materials provided by the lecturer.

CHOICE GROUPSYEAR/SEMESTERCFUSSDLANGUAGE
MODULE II -6 - -
16220 - MICRO AND MACRO ECONOMICS

GIULIO GUARINI

First Year / Second Semester 6SECS-P/01ita
18371 - WORK SAFETY

ANDREA COLANTONI

First Year / Second Semester 6AGR/09ita
120370 - RENEWABLE ENERGIES: PROCESS AND TECHNOLOGY

MAURIZIO CARLINI

First Year / Second Semester 6ING-IND/09ita
MODULE II -6 - -
15937 - OTHER OPTIONAL SUBJECTSFirst Year / Second Semester 6ita
17913 - OTHER OPTIONAL SUBJECTSFirst Year / Second Semester 3ita
119630 - ADVANCED ENGLISH COURSE

SHULA MARY SWEENEY

First Year / Second Semester 3ita
120371 - TECHNIQUES FOR STUDYING THE PROPERTIES OF MATERIALS

CLAUDIA PELOSI

First Year / Second Semester 3CHIM/01ita
MODULE II -6 - -
17713 - INDUSTRIAL ECONOMICS AND MANAGEMENT

VINCENZO SFORZA

Third Year / First Semester 6SECS-P/07ita
16187 - MARKETING

MICHELA PICCAROZZI

Third Year / First Semester 6SECS-P/08ita
16219 - PRODUCTION AND QUALITY CONTROL

ENRICO MARIA MOSCONI

Third Year / First Semester 6SECS-P/13ita
18391 - ENGINEERING OF AGRO-FOOD AND BIOTECHNOLOGY INDUSTRY

MARCELLO FIDALEO

Third Year / First Semester 6AGR/15ita
119635 - AUTOMATION AND CONTROL ENGINEERINGThird Year / First Semester 6ING-INF/04ita
119627 - ARTIFICIAL INTELLIGENCE APPLIED TO INDUSTRIAL PROCESSES

ANDREA ZINGONI

Third Year / First Semester 6ING-INF/05ita
18390 - RENEWABLE ENERGIES: PROCESS AND TECHNOLOGY

MAURIZIO CARLINI

Third Year / Second Semester 6AGR/09ita
16220 - MICRO AND MACRO ECONOMICS

GIULIO GUARINI

Third Year / Second Semester 6SECS-P/01ita
18371 - WORK SAFETY

ANDREA COLANTONI

Third Year / Second Semester 6AGR/09ita
119628 - COMPLEMENTS OF KINEMATICS AND DYNAMICS

CHRISTIAN IANDIORIO

Third Year / Second Semester 6ING-IND/13ita
MODULE II -6 - -
15937 - OTHER OPTIONAL SUBJECTSThird Year / Second Semester 6ita
17877 - BIOFUELS LABORATORY

LEONARDO BIANCHINI

Third Year / Second Semester 3ING-IND/09ita
119629 - LABORATORY OF ENERGY SYSTEMS MODELINGThird Year / Second Semester 3ING-IND/08ita
MODULE II -6 - -
119595 - ELECTRICAL ENGINEERING

SIMONE CARUSOTTI

First Year / Second Semester 6ING-IND/31ita
MODULE II -6 - -
119617 - MAINTENANCE PRACTICES II

TOMMASO DE CHIARA

Second Year / Second Semester 6ING-IND/17ita
MODULE II -6 - -
119617 - MAINTENANCE PRACTICES II

TOMMASO DE CHIARA

Third Year / Second Semester 6ING-IND/17ita
MODULE II -6 - -
119598 - CYBERNETICS

WALTER CURIONE

Second Year / First Semester 6ING-INF/04ita
119599 - ADVANCED COMPUTER SCIENCE

DIEGO PENNINO

Second Year / First Semester 6ING-INF/05ita