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General Info

SUBJECTSEMESTERCFUSSDLANGUAGE
119551 - ADVANCED FLUID MACHINERY AND ENERGY SYSTEMS

First Semester 9ING-IND/08eng

Learning objectives

The course aims to provide a comprehensive understanding of volumetric machines, analyzing kinematics, volumetric expanders, volumetric compressors, and volumetric pumps. Participants will gain detailed knowledge of internal combustion engines, including their classification, fields of application, characteristic parameters, performance, and power regulation techniques, as well as fuel systems and combustion processes.
The course will delve into gas turbine components, focusing on compressors, turbines, materials used, refrigeration techniques, combustors, pollutant emissions, and the influence of external conditions on turbine operation. Power regulation, startup processes, operational transients, and off-design operation, along with the concept of technical minimum, will also be covered.
The course will explore combined cycle plant components, analyzing various plant configurations, multi-pressure level recovery boilers, post-combustion techniques, power regulation, and emission control. Advanced gas cycles, including external combustion, steam injection, humid air cycles, and chemical recovery cycles, will be examined, along with IGCC (Integrated Gasification Combined Cycle) plants, with a focus on their operation, performance, components, and technologies.
Participants will gain knowledge of gas microturbines, including their applications and performance, and fuel cells and hydrogen technologies. The course will cover the electrochemical operation of fuel cells, energy balance, performance, components (electrodes, electrolyte), and construction technologies, focusing on various types of fuel cells (PEM, PAFC, AFC, MCFC, SOFC) and energy systems based on these technologies. The course will also provide an overview of renewable energy sources and an introduction to energy storage systems, concluding with an introduction to Life Cycle Assessment and climate change impacts.
Expected learning outcomes:
At the end of the course the student is expected to have the following knowledge:
• knowledge of the detailed operation of heat exchangers, gas turbines with blade cooling and micro-gas turbines, combined systems at multiple pressure levels, fuel cells, and fuel processing systems for the production of syngas with a high hydrogen content;
• knowledge of the configuration, of the operating principles and of the selection criteria of the main types of volumetric fluid machines.
At the end of the course the student is expected to have the following skills:
• ability to design thermal engine systems and volumetric machines of medium and high complexity;
• ability to check volumetric machines, gas turbines, combined systems at multiple pressure levels, thermal engine systems, hydraulic motors, and refrigerators in different operating conditions;
• ability to choose a volumetric machine according to the field of application;
• ability to carry out the sizing of volumetric pumps and compressors and internal combustion engines;
• ability to carry out the dimensioning of fuel processing systems for the production of syngas with a high hydrogen content and of different types of fuel cells;
• ability to operate correctly (power regulation, control of operating parameters, performance monitoring) volumetric machines, gas turbines with blade cooling and gas micro-turbines, combined systems at multiple pressure levels, and fuel cells.
At the end of the course the student is expected to have the communication skills to describe, in written and oral form, the sizing, design choices, checks, operations and monitoring in the areas of heat exchangers, gas turbines with cooling of gas blades and microturbines, combined systems at multiple pressure levels, fuel cells, fuel processing systems for the production of syngas with high hydrogen content.

120361 - POLYMER COMPOSITES - 9- -

Learning objectives

The course aims to provide students with the knowledge and skills necessary to understand and analyze polymeric, composite, and nanocomposite materials, with a particular focus on their chemical-physical properties, processing technologies, and structure-property relationships. In the first part of the course, the fundamental principles related to the chemical and physical properties of polymeric and composite materials will be addressed, and the main processing techniques will be presented. Subsequently, the relationships between structure, properties, and processing will be analyzed, with a specific focus on the techniques used to characterize chemical-physical properties. Finally, tools for designing structures and devices based on these materials will be provided.
Students will be able to understand and apply the knowledge gained even in interdisciplinary contexts, developing a critical perspective on the properties and behavior of polymeric and composite materials. Additionally, they will be able to communicate information about the materials studied to both specialist and non-specialist audiences.
Knowledge and understanding: understanding the fundamental principles of the chemical-physical properties of polymeric, composite, and nanocomposite materials, as well as the relationships between structure, properties, and processing.
Applied knowledge and understanding: through the study of practical cases, students will be able to apply the knowledge gained to the design of structures and devices based on polymeric and composite materials.
Independent judgment: being able to evaluate the properties of materials and apply the knowledge for the optimal selection and use of polymeric and composite materials in practical contexts.
Communication skills: being able to present, both in writing and orally, the characteristics and properties of polymeric and composite materials and the characterization techniques used.
Learning ability: being able to gather information from textbooks and other sources to autonomously deepen knowledge about polymeric and composite materials and their applications.

MODULE IIFirst Semester6FIS/01ita

Learning objectives

The course aims to provide students with the knowledge and skills necessary to understand and analyze polymeric, composite, and nanocomposite materials, with a particular focus on their chemical-physical properties, processing technologies, and structure-property relationships. In the first part of the course, the fundamental principles related to the chemical and physical properties of polymeric and composite materials will be addressed, and the main processing techniques will be presented. Subsequently, the relationships between structure, properties, and processing will be analyzed, with a specific focus on the techniques used to characterize chemical-physical properties. Finally, tools for designing structures and devices based on these materials will be provided.
Students will be able to understand and apply the knowledge gained even in interdisciplinary contexts, developing a critical perspective on the properties and behavior of polymeric and composite materials. Additionally, they will be able to communicate information about the materials studied to both specialist and non-specialist audiences.
Knowledge and understanding: understanding the fundamental principles of the chemical-physical properties of polymeric, composite, and nanocomposite materials, as well as the relationships between structure, properties, and processing.
Applied knowledge and understanding: through the study of practical cases, students will be able to apply the knowledge gained to the design of structures and devices based on polymeric and composite materials.
Independent judgment: being able to evaluate the properties of materials and apply the knowledge for the optimal selection and use of polymeric and composite materials in practical contexts.
Communication skills: being able to present, both in writing and orally, the characteristics and properties of polymeric and composite materials and the characterization techniques used.
Learning ability: being able to gather information from textbooks and other sources to autonomously deepen knowledge about polymeric and composite materials and their applications.

MODULE IIFirst Semester3CHIM/12ita

Learning objectives

The fundamental objective of the Polymer Chemistry module within the Polymer Composites course is to provide the second level student with an in-depth knowledge of the chemistry of polymers and macromolecules, of the polymerization mechanisms and of the chemical and physic-chemical characteristics of the main natural and synthetic polymers.
The expected learning outcomes are:
1) know the concepts of monomer, polymer, macromolecule
2) know the polymerization reactions that lead to the formation of polymers
3) know the main types of isomerism that characterize polymer molecules
3) understand the properties of polymers based on their chemical composition
4) understand the possible applications of polymers in the engineering field on the basis of their chemical properties
5) knowing how to apply the knowledge acquired to real cases in the field of mechanical engineering
7) autonomy of judgment in choosing a polymeric material for the type of application required
8) communication skills in presenting the topics covered.

119552 - SENSORS AND DATA ACQUISITION SYSTEMS

First Semester 9ING-IND/12eng

Learning objectives

Educational aims:
The main objectives of the Sensors and Data Acquisition systems course is to give the student the knowledge of the analysis methods and acquisition systems focusing the attention on the hardware and software (Labview) developed by National Instrument. A deep knowledge on the inertial measurement systems will be provided to the student.
Expected learning outcomes:
Knowledge and understanding: knowledge of the working principle of the data acquisition systems, knowledge the software Labview, knowledge of inertial sensors, understanding the body kinematics in order to better understand the algorithms that are implemented for the analysis of inertial sensor outputs.
Applying knowledge and understanding: understanding of the right scientific and methodological approach to the measurements; learning how to program in Labview language in order to acquire and analyze electrical signals. learning to independently perform a calibration procedure of sensors such as thermistors, distance sensors, accelerometers, and gyroscopes.
Making judgements: the student will be able to understand the experimental results; knowing how to choose the best instruments that has to be used as a function of the required measurements for the analysis of motion; the student will be able to independently implement software for the data acquisition and analysis.
Communication skills: the student will be able to report on experiments and to read and write calibration reports and datasheets; understanding of software written in Labview.
Learning skills: the ability to apply the learned methodological accuracy and the Labview software to different measurement setups than those studied in the Sensors and Data Acquisition systems course.

MODULE II - -- -
INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester9eng
ITALIAN LANGUAGE – BEGINNER/PRE-INTERMEDIATEFirst Semester3ITA

Learning objectives

The course aims to provide students with the knowledge and skills necessary to handle interactions in basic everyday situations, both public (shops, daily services, offices) and personal (family, friends), as well as university-related scenarios (administrative offices, simple requests). The first part of the course will cover fundamental theoretical aspects related to the four core language skills (listening, reading, speaking, and writing), aiming to achieve an A2 level according to the Common European Framework of Reference for Languages. Subsequently, practical communication skills in everyday contexts will be developed, focusing on understanding and interacting in predictable situations.
Students will be able to apply their language skills in an original way, even in daily life and simple academic interactions. They will be able to understand basic oral and written texts and make judgments about their communicative effectiveness. They will also be able to communicate simple information clearly and understandably.

Knowledge and Understanding: Understanding the basic principles of language skills, particularly focusing on listening and reading comprehension in everyday contexts.
Applied Knowledge and Understanding: Through practical exercises, students will develop the ability to apply the acquired techniques to handle simple interactions in various contexts.
Judgment Autonomy: Being able to evaluate their own communicative abilities and apply acquired knowledge to manage routine dialogues.
Communication Skills: Being able to present, both in writing and orally, simple and clear information about daily life and personal experiences.
Learning Ability: Being able to gather information from basic educational materials and apply knowledge to solve common communication problems

INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester3ENG
INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester6ENG
MODULE II - -- -
NUMERICAL THERMO-FLUID DYNAMICSFirst Semester6ING-IND/10eng

Learning objectives

The objective of the course is to provide the knowledge and skills for the analysis of thermo-fluid dynamic problems in engineering by means of the CFD (Computational Fluid Dynamics) technique. In the first part of the course, the basic theoretical aspects related to the thermo-fluid dynamics governing equations will be addressed, together with the discretization methods of the governing equations and the numerical techniques for their solution. The concepts of stability, consistency, convergence and accuracy will be then illustrated in order to address the solution analysis. Finally, some practical guidelines on CFD simulation will be illustrated. Part of the course will be dedicated to the analysis of simple CFD problems of laminar and turbulent flows using dedicated CFD software.
The students will be able to apply the CFD technique in original ways, even in a research and/or interdisciplinary contexts, and then for the solution of unknown or not familiar problems. Students will have the ability to handle the complexity of computational thermo-fluid dynamic problems even with incomplete data and will be able to formulate judgements on them. In addition, students will have the skills to communicate the information relative to the analysed problems, to their knowledge and their solution to specialist and non-specialist audience.
Knowledge and understanding: to understand the fundamental principles of numerical thermo-fluid dynamics. To know the methods of discretization and solution of the governing equations with numerical techniques. To acquire the basic knowledge for performing numerical CFD simulations.
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 acquired knowledge to solve simple application problems of numerical thermo-fluid dynamics.
Communication skills: knowing how to present, both in written and oral form, simple problems and possible solutions of thermo-fluid dynamics using numerical techniques.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to numerical thermo-fluid dynamics.

ADDITIVE MANUFACTURINGFirst Semester3ING-IND/15eng

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to know the main features and parameters of the most common additive manufacturing technologies;
- to know the features of the most common materials used in the context of additive manufacturing;
- to be able to use design tools for modelling and simulating component to be realized through additive manufacturing;
- to be able to use and choose the most appropriate additive manufacturing technologies to design, prototype and manufacture plastic and metal parts.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about additive manufacturing techniques; to know the most relevant themes about materials for additive manufacturing; to know the most relevant tools to support design for additive manufacturing.
2. Applying knowledge and understanding: to be able to use design for additive manufacturing tools; to be able to use rapid prototyping and additive manufacturing technologies.
3. Making judgements: to be able to choose the most appropriate tools, materials and technologies for rapid prototyping and additive manufacturing of parts.
4. Communication skills: to demonstrate expertise on subjects related to tools and technologies for additive manufacturing; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using additive manufacturing techniques.
5. Learning skills: to be able to autonomously use tools and technologies to support additive manufacturing.

119555 - MACHINE DESIGN

Second Semester 9ING-IND/14eng

Learning objectives

The course is the continuation of the courses of "Mechanical Design and Construction of Machines" given during the first degree in Industrial Engineering. Teaching is aimed at completing the student's preparation in the typical topics of the field and enables him to acquire the skills described below.
EXPECTED LEARNING RESULTS
- Knowledge and Understanding Capabilities: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.
- Applying Knowledge and Understanding: Ability to design and / or verify structural elements and mechanical groups of industrial interest, ensuring their suitability for service also in reference to sectoral regulations.
- 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 and technical drawing in written and oral form.
- Learning Skills: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.

119765 - ELECTIVE COURSE

Second Semester 6eng
119559 - UNCONVENTIONAL TECHNOLOGIES AND MANUFACTURING

Second Semester 9ING-IND/16eng

Learning objectives

The aim of the course is to present machining systems, with particular attention to material-removing ones. In addition, the programming methods for numerical control machines and non-conventional machining will be discussed.
The student is expected to acquire accurate knowledge of the main technologies and special processing systems adopted in industry. In particular, the student is expected to develop the ability to analyse production systems, with particular reference to stock-removing ones, from the planning and optimization point of view. The complexity of production systems will be described and analysed to evaluate their performances, through the relevant indicators such as system resources utilization coefficients, production rate, throughput time, etc.
Expected learning outcomes:
1) Knowledge and understanding: knowledge of material-removing machining and production cycles for a mechanical component.
2) Applying knowledge and understanding: knowledge of the basic optimization techniques of fabrication cycle of material-removing machining, in order to identify and design the production phases and process parameters.
3) Making judgements: knowledge of the main issues related to the production of a mechanical component.
4) Communication skills: preliminary plan of stock-removing operations, programming in machine language.
5) Learning skills: drawing up the manufacturing cycles of mechanical components and their economic evaluation.

MODULE II - -- -
BIOMECHANICS LABORATORYFirst Semester3eng

Learning objectives

The objective of the biomechanics laboratory is to provide the student with the basic concepts of biomechanics, through theoretical and practical lessons. In particular, the student will know the instruments and methods for measuring human movement. Furthermore, the use of calculation software for the resolution of biomechanical models is an integrated part of the educational objectives.
The expected results according to the Dublin descriptors are the following:
- Knowledge and understanding: Know the definitions of biomechanics, understand the functioning of instruments for measuring human movement, know the Matlab programming language for solving biomechanical models.
- Ability to apply correct knowledge and understanding: Have an understanding of the scientific approach in the field of measurements for biomechanics. Have the ability to autonomously carry out a measurement of human movement.
- Judgment skills: The student will be able to evaluate the most suitable equipment to use for measuring a given movement.
- Communication skills: The student will acquire the skills to be able to argue during the exam the measurement concepts related to biomechanics and the terminology to describe a human movement
- Ability to learn: The student will acquire the skills to be able to deepen the study of advanced tools for biomechanics and the use of Matlab for the resolution of biomechanical models.

LABORATORY OF MULTIPHYSICS MODELINGFirst Semester3eng

Learning objectives

Learning objectives: to provide knowledge for the description of mass and heat transport phenomena in the food and biotechnology fields.
Expected Learning Outcomes:
1) Knowledge and ability to understand: to develop knowledge of the principles underlying the phenomena of mass and heat transport and chemical kinetics.
2) Applied knowledge and understanding: to be able to schematize and solve food and biochemical engineering problems related to both microscopic and macroscopic mass and energy balances.
3) Autonomy of judgment: to be able to independently gather, select, and evaluate information necessary for the analysis and solution of problems related to mass and energy balances in the food and biotechnology fields.
4) Communication skills: to be able to communicate information, ideas, and solutions related to mass and energy transport problems in the food and biotechnology fields to specialist and non-specialist interlocutors.

ITALIAN LANGUAGE - PRE-INTERMEDIATE/INTERMEDIATEFirst Semester3ita

Learning objectives

The course aims to provide students with the knowledge and skills needed to handle more complex interactions in everyday and academic situations. The first part of the course will delve into theoretical aspects related to the four language skills (listening, reading, speaking, and writing) to achieve a B1 level according to the Common European Framework of Reference for Languages. Subsequently, more complex communication scenarios and case studies will be analyzed, such as participating in conversations on less predictable topics.
Students will be able to apply their language skills in an original and critical manner, even in more complex and interdisciplinary contexts. They will be able to understand more detailed texts, make judgments about communicative situations, and manage dialogues independently, demonstrating confidence and flexibility.
Knowledge and Understanding: Understanding more complex language structures and interaction modes in various contexts, including work and study.
Applied Knowledge and Understanding: Through practical exercises and simulations of more detailed conversations, students will develop the ability to manage interactions in different contexts, focusing on coherence and clarity of communication.
Judgment Autonomy: Being able to make informed judgments about the effectiveness of their interactions and communication strategies used.
Communication Skills: Being able to present, both in writing and orally, more complex topics and participate in discussions on familiar and unfamiliar themes.
Learning Ability: Being able to independently deepen language knowledge through various sources, including specialized texts and online materials.

INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester3ENG
INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester6ENG
TECHNIQUES FOR MATERIALS CHARACTERISATIONFirst Semester3eng

Learning objectives

The laboratory aims to provide second-level students with the knowledge and skills necessary to tackle the characterization of materials relevant to mechanical engineering, such as metals, alloys, composites, polymers, and new materials. In the first part of the course, the main spectroscopic and imaging techniques used for material studies will be addressed, along with the theoretical principles underlying these techniques. Subsequently, the experimental results obtained through these methodologies will be analyzed, discussing their significance and practical application. A portion of the course will be dedicated to laboratory exercises where students will apply the studied characterization techniques to concrete case studies.
Students will be able to apply the characterization techniques in an original manner, even in research and/or interdisciplinary contexts, contributing to the resolution of problems related to material studies. They will be able to critically interpret experimental data and make informed judgments.
Knowledge and understanding: understanding the main material characterization techniques, particularly spectroscopic and imaging techniques, and knowing the principles that govern them.
Applied knowledge and understanding: through practical exercises, students will develop the ability to apply the acquired techniques to the characterization of various materials and interpret the results.
Independent judgment: being able to independently evaluate the experimental results obtained and apply the acquired knowledge to solve complex problems related to material characterization.
Communication skills: being able to present, both in written and oral form, the results of experimental analyses and their significance, making them understandable to both specialists and non-specialists.
Learning ability: being able to gather information from scientific sources and specialized texts to autonomously deepen knowledge about material characterization techniques.

MODULE II - -- -
NEW MATERIALS FOR ENERGYFirst Semester6FIS/07eng

Learning objectives

The course aims at introducing the students to a general knowledge of the materials fundamental properties, linking them with the lattice structures and properties. The main structural differences among dielectrics, metals and semiconductors will be analysed. In particular the most important materials for the Nuclear Fusion (steels and superconductors). 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).

SUBJECTSEMESTERCFUSSDLANGUAGE
MODULE II - -- -
ENVIRONMENTAL MONITORING FOR ENGINEERING DESIGNSecond Semester9AGR/08eng

Learning objectives

The course aims at enhancing the comprehension of natural environmental processes and at introducing major traditional and remote environmental sensing techniques. The course provides concepts and methodologies to address engineering design in context where monitoring major environmental variables is necessary.
The course aim is the knowledge of hydrological processes monitoring. Specifically, the course will focus on instrumentations and sensing techniques useful for observing environmental parameters.
It is possible to identify three main aims:
1. Refresh of notions about hydrological processes and their modelling, with particular emphasis of river discharge and precipitations.
2. Learning about instruments and sensing techniques for hydrological observations.
3. Learning and applying innovative approaches based on image analysis.
Expected outcomes following the Dublin descriptors:
Knowledge and understanding: hydrological phenomena, specifically, rainfall and runoff formation. Common practice of data collection and measurements in hydrology.
Applying knowledge and understanding: the concepts with a more technical and applicative implication (tools and approaches for the measurement and estimation of hydrological variables) will be consolidated through both traditional (exercises) and advanced (small experiments to be developed independently) practical labs.
Making judgements - Communication skills - Learning skills: students will be asked to develop a project that, in addition to providing a practical example for estimating river flow velocity, will allow them to investigate on the role of the image analysis. The project will be assigned without a rigid scheme, students will be invited to identify a scientific question on which they can investigate with the software application. During the project they will identify the answer to the scientific question and motivate their conclusions. Setting small groups and interacting with the lecturer will stimulate Making judgements - Communication skills - Learning skills under the hydrological perspective.

NUCLEAR FUSIONSecond Semester9ING-IND/31eng

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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).

MODULE II - -- -
INTERNAL COMBUSTION ENGINES FUNDAMENTALSSecond Semester6ING-IND/08eng

Learning objectives

The objective of the module is the comprehension of the basic physics involved in powertrains:
- Provide the theoretical and analytical bases for understanding basic thermo-fluid dynamic processes within traditional and innovative powertrains.
- Provide methods and instruments for the design of powertrain components.
Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments useful for understanding the powertrain working principles (Dublin descriptors 1 and 5);
- Capacity of utilizing the methodologies for the design powertrain components (Dublin descriptors 2 and 3).

NON DESTRUCTIVE TESTING AND EVALUATIONSecond Semester6ING-IND/12eng

Learning objectives

The class mainly aims at providing both theoretical and practical knowledges on non-destructive methods used in the industrial field.
Considering the Dublin Descriptors, the expected results will be:
1. Knowledge and understanding: Students will acquire theoretical knowledges on the different types of non-destructive testing, as well the ability to understand scientific report of the tests and technical datasheet of the instruments used for the test application.
2. Applying knowledge and understanding: Students will be able to manage hardware and software elements of the measurement systems. A full insight into the UNI EN ISO 9712 standards concerning the risks related to the practical application of the procedure will be acquired.
3. Making judgements: Students will be able to select the most suitable approach based on thea specific application., as well they will be able to write down scientific reports on the outcomes of non destructive tests.
4. Communication skills: Students will acquire the ability to be able to discuss the different techniques with appropriate language both from a tehcnical and regulatory point of view during the exam.
5. Learning skills: Students will acquire the mandatory basic skills to be able to autonomously deepen the advanced study of innovative non-destructive tests.

MODULE II - -- -
VIRTUAL PROTOTYPINGSecond Semester6ING-IND/15eng

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to present methods and tools for the geometrical modelling and simulation
- to illustrate methods and tools for the creation and use of virtual prototypes to be used during the design and validation, as well as along the whole product lifecycle.7
- to illustrate innovative and standard techniques and technologies for the interaction with the virtual prototype.
- to face the issues related to virtual modelling in specific application contexts and related to the use of innovative industrial design technologies.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about solid and surface modelling; to know the role of virtual prototypes in the product development process; to know the most relevant tools to support the design and management of the product life cycle
2. Applying knowledge and understanding: to be able to use solid modelling and virtual prototyping tools; to be able to use design for X techniques; to be able to use life cycle design and management techniques
3. Making judgements: to be able to choose the most appropriate virtual prototyping tools to support the different product development phases
4. Communication skills: to demonstrate expertise on subjects related to virtual prototyping; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using virtual prototyping techniques
5. Learning skills: to be able to autonomously use tools and methods related to virtual prototyping.

HYDROGEN TECHNOLOGIESSecond Semester6ING-IND/08eng

Learning objectives

The course aims to give the students fundamental concepts and applicative knowledge of hydrogen technologies, covering all the steps of the value chain: production, storage and final use. Both conventional and innovative technologies are discussed to give the students the basic skills required to work in the hydrogen sector.
In particular, at the end of the course the student is expected to have the following knowledge:
- knowledge of hydrogen production systems
- knowledge of hydrogen storage systems
- knowledge of hydrogen final uses
Furthermore, at the end of the course the student is expected to have the following skills:
- ability to outline schemes and processes of thermochemical hydrogen production plants
- ability to choose renewable hydrogen production systems based on the type of application
- ability to choose hydrogen storage systems based on the production method and final use
- ability to analyze hydrogen final-use scenarios
Expected learning outcomes:
Knowledge and understanding: understand the fundamental principles associated with the techno-economic analysis of hydrogen systems.
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: being able to apply the acquired knowledge to solve simple problems in the techno-economic analysis of hydrogen systems.
Communication skills: knowing how to explain, both in written and oral form, the problem and possible solutions to simple situations concerning the techno-economic analysis of hydrogen systems.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the verification of hydrogen systems.

MODULE II - -- -
MACHINES FOR BIOSYSTEMSSecond Semester6AGR/09eng

Learning objectives

The student will acquire the basic skills to develop the mechanization of the operations of the main agricultural, forestry and green maintenance sites.
In particular, he will be able to choose suitable machines for quality work (knowing materials, operating modes) and respecting constraints on mechanization (economic, environmental, safety, etc.).
Expected learning outcomes:
• Knowledge and understanding skills: the student will acquire knowledge and understanding about the principles underlying the design and operation of machines and plants and know how to introduce them into agricultural, forestry and green maintenance sites, while respecting various constraints.
• Ability to apply knowledge and understanding: the student will acquire the skills to apply the theoretical knowledge of the topics dealt in the course with a critical sense for the identification of individual machines, a park of machinery or plant for agricultural, forestry and green maintenance yards.
• Autonomy of judgment: the student will be able to select specific machines and plants suitable for the various types of agricultural, forestry and green maintenance sites, in an objective way, without letting them be influenced by the machine manufacturers and also respecting the social, scientific or ethics related to each decision of mechanization.
• Communicative Skills: the student will be able to communicate machine and plant information and their technical and economic requirements to third parties (employers, clients such as farms, forestry companies, etc.), motivating their choices.
• Learning ability: the articulation of the course will be developed in such a way as to convey to the students at first the "transversal" basic concepts, regarding any type of machine. Next, individual types of machines will be treated (most commonly in agricultural, forestry and green maintenance sites). The topics will be dealt with in order to stimulate the will to learn, in the logic of gradually developing knowledge, from mechanical materials and principles, to building and safety aspects, to machine management. The same logic is required in the creation of a textbook or presentation that will be taken into account in the assessment of learning.

BIOENERGYSecond Semester3ING-IND/11ENG

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

119764 - ELECTIVE COURSE

Second Semester 6eng
119567 - PROJECT AND INDUSTRIAL MANAGEMENT

Second Semester 6ING-IND/17ENG

Learning objectives

The main objectives of the Sensors and Data Acquisition systems course is to give the student the knowledge of the analysis methods and acquisition systems focusing the attention on the hardware and software (Labview) developed by National Instrument. A deep knowledge on the inertial measurement systems will be provided to the student.
Expected learning outcomes: knowledge and understanding: knowledge of the working principle of the data acquisition systems, knowledge the software Labview, knowledge of inertial sensors, understanding the body kinematics in order to better understand the algorithms that are implemented for the analysis of inertial sensor outputs.
Applying knowledge and understanding: understanding of the right scientific and methodological approach to the measurements; learning how to program in Labview language in order to acquire and analyze electrical signals. learning to independently perform a calibration procedure of sensors such as thermistors, distance sensors, accelerometers, and gyroscopes.
Making judgements: the student will be able to understand the experimental results; knowing how to choose the best instruments that has to be used as a function of the required measurements for the analysis of motion; the student will be able to independently implement software for the data acquisition and analysis.
Communication skills: the student will be able to report on experiments and to read and write calibration reports and datasheets; understanding of software written in Labview.
Learning skills: the ability to apply the learned methodological accuracy and the Labview software to different measurement setups than those studied in the Sensors and Data Acquisition systems course.

119575 - FINAL DISSERTATION

Second Semester 15eng
MODULE II - -- -
INTERNSHIP AND SEMINARS - OTHER ACTIVITIESSecond Semester9eng
MODULE II - -- -
NUCLEAR FUSIONSecond Semester9ING-IND/31eng

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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).

MODULE II - -- -
ADDITIVE MANUFACTURINGSecond Semester3ING-IND/15eng

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to know the main features and parameters of the most common additive manufacturing technologies;
- to know the features of the most common materials used in the context of additive manufacturing;
- to be able to use design tools for modelling and simulating component to be realized through additive manufacturing;
- to be able to use and choose the most appropriate additive manufacturing technologies to design, prototype and manufacture plastic and metal parts.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about additive manufacturing techniques; to know the most relevant themes about materials for additive manufacturing; to know the most relevant tools to support design for additive manufacturing.
2. Applying knowledge and understanding: to be able to use design for additive manufacturing tools; to be able to use rapid prototyping and additive manufacturing technologies.
3. Making judgements: to be able to choose the most appropriate tools, materials and technologies for rapid prototyping and additive manufacturing of parts.
4. Communication skills: to demonstrate expertise on subjects related to tools and technologies for additive manufacturing; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using additive manufacturing techniques.
5. Learning skills: to be able to autonomously use tools and technologies to support additive manufacturing.

Learning objectives

The course aims to provide students with the knowledge and skills necessary to handle interactions in basic everyday situations, both public (shops, daily services, offices) and personal (family, friends), as well as university-related scenarios (administrative offices, simple requests). The first part of the course will cover fundamental theoretical aspects related to the four core language skills (listening, reading, speaking, and writing), aiming to achieve an A2 level according to the Common European Framework of Reference for Languages. Subsequently, practical communication skills in everyday contexts will be developed, focusing on understanding and interacting in predictable situations.
Students will be able to apply their language skills in an original way, even in daily life and simple academic interactions. They will be able to understand basic oral and written texts and make judgments about their communicative effectiveness. They will also be able to communicate simple information clearly and understandably.

Knowledge and Understanding: Understanding the basic principles of language skills, particularly focusing on listening and reading comprehension in everyday contexts.
Applied Knowledge and Understanding: Through practical exercises, students will develop the ability to apply the acquired techniques to handle simple interactions in various contexts.
Judgment Autonomy: Being able to evaluate their own communicative abilities and apply acquired knowledge to manage routine dialogues.
Communication Skills: Being able to present, both in writing and orally, simple and clear information about daily life and personal experiences.
Learning Ability: Being able to gather information from basic educational materials and apply knowledge to solve common communication problems

Learning objectives

The objective of the biomechanics laboratory is to provide the student with the basic concepts of biomechanics, through theoretical and practical lessons. In particular, the student will know the instruments and methods for measuring human movement. Furthermore, the use of calculation software for the resolution of biomechanical models is an integrated part of the educational objectives.
The expected results according to the Dublin descriptors are the following:
- Knowledge and understanding: Know the definitions of biomechanics, understand the functioning of instruments for measuring human movement, know the Matlab programming language for solving biomechanical models.
- Ability to apply correct knowledge and understanding: Have an understanding of the scientific approach in the field of measurements for biomechanics. Have the ability to autonomously carry out a measurement of human movement.
- Judgment skills: The student will be able to evaluate the most suitable equipment to use for measuring a given movement.
- Communication skills: The student will acquire the skills to be able to argue during the exam the measurement concepts related to biomechanics and the terminology to describe a human movement
- Ability to learn: The student will acquire the skills to be able to deepen the study of advanced tools for biomechanics and the use of Matlab for the resolution of biomechanical models.

Learning objectives

Learning objectives: to provide knowledge for the description of mass and heat transport phenomena in the food and biotechnology fields.
Expected Learning Outcomes:
1) Knowledge and ability to understand: to develop knowledge of the principles underlying the phenomena of mass and heat transport and chemical kinetics.
2) Applied knowledge and understanding: to be able to schematize and solve food and biochemical engineering problems related to both microscopic and macroscopic mass and energy balances.
3) Autonomy of judgment: to be able to independently gather, select, and evaluate information necessary for the analysis and solution of problems related to mass and energy balances in the food and biotechnology fields.
4) Communication skills: to be able to communicate information, ideas, and solutions related to mass and energy transport problems in the food and biotechnology fields to specialist and non-specialist interlocutors.

Learning objectives

The course aims to provide students with the knowledge and skills needed to handle more complex interactions in everyday and academic situations. The first part of the course will delve into theoretical aspects related to the four language skills (listening, reading, speaking, and writing) to achieve a B1 level according to the Common European Framework of Reference for Languages. Subsequently, more complex communication scenarios and case studies will be analyzed, such as participating in conversations on less predictable topics.
Students will be able to apply their language skills in an original and critical manner, even in more complex and interdisciplinary contexts. They will be able to understand more detailed texts, make judgments about communicative situations, and manage dialogues independently, demonstrating confidence and flexibility.
Knowledge and Understanding: Understanding more complex language structures and interaction modes in various contexts, including work and study.
Applied Knowledge and Understanding: Through practical exercises and simulations of more detailed conversations, students will develop the ability to manage interactions in different contexts, focusing on coherence and clarity of communication.
Judgment Autonomy: Being able to make informed judgments about the effectiveness of their interactions and communication strategies used.
Communication Skills: Being able to present, both in writing and orally, more complex topics and participate in discussions on familiar and unfamiliar themes.
Learning Ability: Being able to independently deepen language knowledge through various sources, including specialized texts and online materials.

Learning objectives

The laboratory aims to provide second-level students with the knowledge and skills necessary to tackle the characterization of materials relevant to mechanical engineering, such as metals, alloys, composites, polymers, and new materials. In the first part of the course, the main spectroscopic and imaging techniques used for material studies will be addressed, along with the theoretical principles underlying these techniques. Subsequently, the experimental results obtained through these methodologies will be analyzed, discussing their significance and practical application. A portion of the course will be dedicated to laboratory exercises where students will apply the studied characterization techniques to concrete case studies.
Students will be able to apply the characterization techniques in an original manner, even in research and/or interdisciplinary contexts, contributing to the resolution of problems related to material studies. They will be able to critically interpret experimental data and make informed judgments.
Knowledge and understanding: understanding the main material characterization techniques, particularly spectroscopic and imaging techniques, and knowing the principles that govern them.
Applied knowledge and understanding: through practical exercises, students will develop the ability to apply the acquired techniques to the characterization of various materials and interpret the results.
Independent judgment: being able to independently evaluate the experimental results obtained and apply the acquired knowledge to solve complex problems related to material characterization.
Communication skills: being able to present, both in written and oral form, the results of experimental analyses and their significance, making them understandable to both specialists and non-specialists.
Learning ability: being able to gather information from scientific sources and specialized texts to autonomously deepen knowledge about material characterization techniques.

Learning objectives

The objective of the course is to provide the knowledge and skills for the analysis of thermo-fluid dynamic problems in engineering by means of the CFD (Computational Fluid Dynamics) technique. In the first part of the course, the basic theoretical aspects related to the thermo-fluid dynamics governing equations will be addressed, together with the discretization methods of the governing equations and the numerical techniques for their solution. The concepts of stability, consistency, convergence and accuracy will be then illustrated in order to address the solution analysis. Finally, some practical guidelines on CFD simulation will be illustrated. Part of the course will be dedicated to the analysis of simple CFD problems of laminar and turbulent flows using dedicated CFD software.
The students will be able to apply the CFD technique in original ways, even in a research and/or interdisciplinary contexts, and then for the solution of unknown or not familiar problems. Students will have the ability to handle the complexity of computational thermo-fluid dynamic problems even with incomplete data and will be able to formulate judgements on them. In addition, students will have the skills to communicate the information relative to the analysed problems, to their knowledge and their solution to specialist and non-specialist audience.
Knowledge and understanding: to understand the fundamental principles of numerical thermo-fluid dynamics. To know the methods of discretization and solution of the governing equations with numerical techniques. To acquire the basic knowledge for performing numerical CFD simulations.
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 acquired knowledge to solve simple application problems of numerical thermo-fluid dynamics.
Communication skills: knowing how to present, both in written and oral form, simple problems and possible solutions of thermo-fluid dynamics using numerical techniques.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to numerical thermo-fluid dynamics.

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to know the main features and parameters of the most common additive manufacturing technologies;
- to know the features of the most common materials used in the context of additive manufacturing;
- to be able to use design tools for modelling and simulating component to be realized through additive manufacturing;
- to be able to use and choose the most appropriate additive manufacturing technologies to design, prototype and manufacture plastic and metal parts.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about additive manufacturing techniques; to know the most relevant themes about materials for additive manufacturing; to know the most relevant tools to support design for additive manufacturing.
2. Applying knowledge and understanding: to be able to use design for additive manufacturing tools; to be able to use rapid prototyping and additive manufacturing technologies.
3. Making judgements: to be able to choose the most appropriate tools, materials and technologies for rapid prototyping and additive manufacturing of parts.
4. Communication skills: to demonstrate expertise on subjects related to tools and technologies for additive manufacturing; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using additive manufacturing techniques.
5. Learning skills: to be able to autonomously use tools and technologies to support additive manufacturing.

Learning objectives

The course aims to enable the student to achieve the following educational outcomes:
- know the main characteristics of additive manufacturing and design for additive manufacturing;
- know the uses and the main simulation tools regarding topological optimization;
- know the uses and main simulation tools regarding Generative Design;
- know the uses and main techniques of Reverse Engineering;
- be able to use modeling and simulation tools for components to be created through additive manufacturing.
Expected learning outcomes:
1. Knowledge and understanding: know the concepts related to additive manufacturing technologies; know the concepts relating to materials for additive manufacturing; learn about the most innovative tools to support the design of components to be created in additive manufacturing.
2. Applied knowledge and understanding: knowing how to use design software systems for additive manufacturing; know how to use Generative Design, topological optimization and Reverse Engineering techniques.
3. Making judgements: knowing how to adequately choose DFAM techniques in relation to the case study considered.
4. Communication skills: mastery of topics related to additive manufacturing tools and technologies; use of appropriate vocabulary and terminology to present, in written or verbal form, a project created through the use of additive manufacturing techniques.
5. Ability to learn: autonomy in the use of simulation tools to support additive manufacturing.

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to know the main features and parameters of the most common additive manufacturing technologies;
- to know the features of the most common materials used in the context of additive manufacturing;
- to be able to use design tools for modelling and simulating component to be realized through additive manufacturing;
- to be able to use and choose the most appropriate additive manufacturing technologies to design, prototype and manufacture plastic and metal parts.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about additive manufacturing techniques; to know the most relevant themes about materials for additive manufacturing; to know the most relevant tools to support design for additive manufacturing.
2. Applying knowledge and understanding: to be able to use design for additive manufacturing tools; to be able to use rapid prototyping and additive manufacturing technologies.
3. Making judgements: to be able to choose the most appropriate tools, materials and technologies for rapid prototyping and additive manufacturing of parts.
4. Communication skills: to demonstrate expertise on subjects related to tools and technologies for additive manufacturing; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using additive manufacturing techniques.
5. Learning skills: to be able to autonomously use tools and technologies to support additive manufacturing.

Learning objectives

The objective of the module is the comprehension of the basic physics involved in powertrains:
- Provide the theoretical and analytical bases for understanding basic thermo-fluid dynamic processes within traditional and innovative powertrains.
- Provide methods and instruments for the design of powertrain components.
Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments useful for understanding the powertrain working principles (Dublin descriptors 1 and 5);
- Capacity of utilizing the methodologies for the design powertrain components (Dublin descriptors 2 and 3).

Learning objectives

The class mainly aims at providing both theoretical and practical knowledges on non-destructive methods used in the industrial field.
Considering the Dublin Descriptors, the expected results will be:
1. Knowledge and understanding: Students will acquire theoretical knowledges on the different types of non-destructive testing, as well the ability to understand scientific report of the tests and technical datasheet of the instruments used for the test application.
2. Applying knowledge and understanding: Students will be able to manage hardware and software elements of the measurement systems. A full insight into the UNI EN ISO 9712 standards concerning the risks related to the practical application of the procedure will be acquired.
3. Making judgements: Students will be able to select the most suitable approach based on thea specific application., as well they will be able to write down scientific reports on the outcomes of non destructive tests.
4. Communication skills: Students will acquire the ability to be able to discuss the different techniques with appropriate language both from a tehcnical and regulatory point of view during the exam.
5. Learning skills: Students will acquire the mandatory basic skills to be able to autonomously deepen the advanced study of innovative non-destructive tests.

Learning objectives

The course aims at introducing the students to a general knowledge of the materials fundamental properties, linking them with the lattice structures and properties. The main structural differences among dielectrics, metals and semiconductors will be analysed. In particular the most important materials for the Nuclear Fusion (steels and superconductors). 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

The student will acquire the basic skills to develop the mechanization of the operations of the main agricultural, forestry and green maintenance sites.
In particular, he will be able to choose suitable machines for quality work (knowing materials, operating modes) and respecting constraints on mechanization (economic, environmental, safety, etc.).
Expected learning outcomes:
• Knowledge and understanding skills: the student will acquire knowledge and understanding about the principles underlying the design and operation of machines and plants and know how to introduce them into agricultural, forestry and green maintenance sites, while respecting various constraints.
• Ability to apply knowledge and understanding: the student will acquire the skills to apply the theoretical knowledge of the topics dealt in the course with a critical sense for the identification of individual machines, a park of machinery or plant for agricultural, forestry and green maintenance yards.
• Autonomy of judgment: the student will be able to select specific machines and plants suitable for the various types of agricultural, forestry and green maintenance sites, in an objective way, without letting them be influenced by the machine manufacturers and also respecting the social, scientific or ethics related to each decision of mechanization.
• Communicative Skills: the student will be able to communicate machine and plant information and their technical and economic requirements to third parties (employers, clients such as farms, forestry companies, etc.), motivating their choices.
• Learning ability: the articulation of the course will be developed in such a way as to convey to the students at first the "transversal" basic concepts, regarding any type of machine. Next, individual types of machines will be treated (most commonly in agricultural, forestry and green maintenance sites). The topics will be dealt with in order to stimulate the will to learn, in the logic of gradually developing knowledge, from mechanical materials and principles, to building and safety aspects, to machine management. The same logic is required in the creation of a textbook or presentation that will be taken into account in the assessment of learning.

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

Learning objectives

Knowledge and understanding: the student will be aware from a technical point of view of energy plants where biomasses and organic wastes are used.
Applying Knowledge and understanding: the student will be able to apply the acquired knowledge to choose the most suitable type of energy conversion process according to the type of biomass and the energy vector to be produced.
Making judgments: the student will became capable to judge the different options available given the nature of the feedstock available (kind of biomass, kind of organic waste) and the technological opportunities to valorize it as bioenergy.
Communication skills: the student will be capable to efficiently communicate concerning bio-energy options, processes and plants.
Learning skills the student will be taught that significant bioenergy process advancements are in progress, and that he/she should keep him/herself updated on the last technological outcomes that face the bio-energy market.

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

Learning objectives

The course aims at enhancing the comprehension of natural environmental processes and at introducing major traditional and remote environmental sensing techniques. The course provides concepts and methodologies to address engineering design in context where monitoring major environmental variables is necessary.
The course aim is the knowledge of hydrological processes monitoring. Specifically, the course will focus on instrumentations and sensing techniques useful for observing environmental parameters.
It is possible to identify three main aims:
1. Refresh of notions about hydrological processes and their modelling, with particular emphasis of river discharge and precipitations.
2. Learning about instruments and sensing techniques for hydrological observations.
3. Learning and applying innovative approaches based on image analysis.
Expected outcomes following the Dublin descriptors:
Knowledge and understanding: hydrological phenomena, specifically, rainfall and runoff formation. Common practice of data collection and measurements in hydrology.
Applying knowledge and understanding: the concepts with a more technical and applicative implication (tools and approaches for the measurement and estimation of hydrological variables) will be consolidated through both traditional (exercises) and advanced (small experiments to be developed independently) practical labs.
Making judgements - Communication skills - Learning skills: students will be asked to develop a project that, in addition to providing a practical example for estimating river flow velocity, will allow them to investigate on the role of the image analysis. The project will be assigned without a rigid scheme, students will be invited to identify a scientific question on which they can investigate with the software application. During the project they will identify the answer to the scientific question and motivate their conclusions. Setting small groups and interacting with the lecturer will stimulate Making judgements - Communication skills - Learning skills under the hydrological perspective.

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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

The course will provide the basics necessary to engineering understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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

The course will provide the basics necessary to physical understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices, (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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

The course aims to provide to the students the following learning outcomes:
- to present methods and tools for the geometrical modelling and simulation
- to illustrate methods and tools for the creation and use of virtual prototypes to be used during the design and validation, as well as along the whole product lifecycle.7
- to illustrate innovative and standard techniques and technologies for the interaction with the virtual prototype.
- to face the issues related to virtual modelling in specific application contexts and related to the use of innovative industrial design technologies.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about solid and surface modelling; to know the role of virtual prototypes in the product development process; to know the most relevant tools to support the design and management of the product life cycle
2. Applying knowledge and understanding: to be able to use solid modelling and virtual prototyping tools; to be able to use design for X techniques; to be able to use life cycle design and management techniques
3. Making judgements: to be able to choose the most appropriate virtual prototyping tools to support the different product development phases
4. Communication skills: to demonstrate expertise on subjects related to virtual prototyping; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using virtual prototyping techniques
5. Learning skills: to be able to autonomously use tools and methods related to virtual prototyping.

Learning objectives

The course aims to give the students fundamental concepts and applicative knowledge of hydrogen technologies, covering all the steps of the value chain: production, storage and final use. Both conventional and innovative technologies are discussed to give the students the basic skills required to work in the hydrogen sector.
In particular, at the end of the course the student is expected to have the following knowledge:
- knowledge of hydrogen production systems
- knowledge of hydrogen storage systems
- knowledge of hydrogen final uses
Furthermore, at the end of the course the student is expected to have the following skills:
- ability to outline schemes and processes of thermochemical hydrogen production plants
- ability to choose renewable hydrogen production systems based on the type of application
- ability to choose hydrogen storage systems based on the production method and final use
- ability to analyze hydrogen final-use scenarios
Expected learning outcomes:
Knowledge and understanding: understand the fundamental principles associated with the techno-economic analysis of hydrogen systems.
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: being able to apply the acquired knowledge to solve simple problems in the techno-economic analysis of hydrogen systems.
Communication skills: knowing how to explain, both in written and oral form, the problem and possible solutions to simple situations concerning the techno-economic analysis of hydrogen systems.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the verification of hydrogen systems.

Learning objectives

The course aims to provide a comprehensive understanding of volumetric machines, analyzing kinematics, volumetric expanders, volumetric compressors, and volumetric pumps. Participants will gain detailed knowledge of internal combustion engines, including their classification, fields of application, characteristic parameters, performance, and power regulation techniques, as well as fuel systems and combustion processes.
The course will delve into gas turbine components, focusing on compressors, turbines, materials used, refrigeration techniques, combustors, pollutant emissions, and the influence of external conditions on turbine operation. Power regulation, startup processes, operational transients, and off-design operation, along with the concept of technical minimum, will also be covered.
The course will explore combined cycle plant components, analyzing various plant configurations, multi-pressure level recovery boilers, post-combustion techniques, power regulation, and emission control. Advanced gas cycles, including external combustion, steam injection, humid air cycles, and chemical recovery cycles, will be examined, along with IGCC (Integrated Gasification Combined Cycle) plants, with a focus on their operation, performance, components, and technologies.
Participants will gain knowledge of gas microturbines, including their applications and performance, and fuel cells and hydrogen technologies. The course will cover the electrochemical operation of fuel cells, energy balance, performance, components (electrodes, electrolyte), and construction technologies, focusing on various types of fuel cells (PEM, PAFC, AFC, MCFC, SOFC) and energy systems based on these technologies. The course will also provide an overview of renewable energy sources and an introduction to energy storage systems, concluding with an introduction to Life Cycle Assessment and climate change impacts.
Expected learning outcomes:
At the end of the course the student is expected to have the following knowledge:
• knowledge of the detailed operation of heat exchangers, gas turbines with blade cooling and micro-gas turbines, combined systems at multiple pressure levels, fuel cells, and fuel processing systems for the production of syngas with a high hydrogen content;
• knowledge of the configuration, of the operating principles and of the selection criteria of the main types of volumetric fluid machines.
At the end of the course the student is expected to have the following skills:
• ability to design thermal engine systems and volumetric machines of medium and high complexity;
• ability to check volumetric machines, gas turbines, combined systems at multiple pressure levels, thermal engine systems, hydraulic motors, and refrigerators in different operating conditions;
• ability to choose a volumetric machine according to the field of application;
• ability to carry out the sizing of volumetric pumps and compressors and internal combustion engines;
• ability to carry out the dimensioning of fuel processing systems for the production of syngas with a high hydrogen content and of different types of fuel cells;
• ability to operate correctly (power regulation, control of operating parameters, performance monitoring) volumetric machines, gas turbines with blade cooling and gas micro-turbines, combined systems at multiple pressure levels, and fuel cells.
At the end of the course the student is expected to have the communication skills to describe, in written and oral form, the sizing, design choices, checks, operations and monitoring in the areas of heat exchangers, gas turbines with cooling of gas blades and microturbines, combined systems at multiple pressure levels, fuel cells, fuel processing systems for the production of syngas with high hydrogen content.

Learning objectives

The objective of the course is to provide the knowledge and skills for the analysis of thermo-fluid dynamic problems in engineering by means of the CFD (Computational Fluid Dynamics) technique. In the first part of the course, the basic theoretical aspects related to the thermo-fluid dynamics governing equations will be addressed, together with the discretization methods of the governing equations and the numerical techniques for their solution. The concepts of stability, consistency, convergence and accuracy will be then illustrated in order to address the solution analysis. Finally, some practical guidelines on CFD simulation will be illustrated. Part of the course will be dedicated to the analysis of simple CFD problems of laminar and turbulent flows using dedicated CFD software.
The students will be able to apply the CFD technique in original ways, even in a research and/or interdisciplinary contexts, and then for the solution of unknown or not familiar problems. Students will have the ability to handle the complexity of computational thermo-fluid dynamic problems even with incomplete data and will be able to formulate judgements on them. In addition, students will have the skills to communicate the information relative to the analysed problems, to their knowledge and their solution to specialist and non-specialist audience.
Knowledge and understanding: to understand the fundamental principles of numerical thermo-fluid dynamics. To know the methods of discretization and solution of the governing equations with numerical techniques. To acquire the basic knowledge for performing numerical CFD simulations.
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 acquired knowledge to solve simple application problems of numerical thermo-fluid dynamics.
Communication skills: knowing how to present, both in written and oral form, simple problems and possible solutions of thermo-fluid dynamics using numerical techniques.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to numerical thermo-fluid dynamics.

Learning objectives

The course is the continuation of the courses of "Mechanical Design and Construction of Machines" given during the first degree in Industrial Engineering. Teaching is aimed at completing the student's preparation in the typical topics of the field and enables him to acquire the skills described below.
EXPECTED LEARNING RESULTS
- Knowledge and Understanding Capabilities: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.
- Applying Knowledge and Understanding: Ability to design and / or verify structural elements and mechanical groups of industrial interest, ensuring their suitability for service also in reference to sectoral regulations.
- 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 and technical drawing in written and oral form.
- Learning Skills: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.

Learning objectives

The aim of the course is to present machining systems, with particular attention to material-removing ones. In addition, the programming methods for numerical control machines and non-conventional machining will be discussed.
The student is expected to acquire accurate knowledge of the main technologies and special processing systems adopted in industry. In particular, the student is expected to develop the ability to analyse production systems, with particular reference to stock-removing ones, from the planning and optimization point of view. The complexity of production systems will be described and analysed to evaluate their performances, through the relevant indicators such as system resources utilization coefficients, production rate, throughput time, etc.
Expected learning outcomes:
1) Knowledge and understanding: knowledge of material-removing machining and production cycles for a mechanical component.
2) Applying knowledge and understanding: knowledge of the basic optimization techniques of fabrication cycle of material-removing machining, in order to identify and design the production phases and process parameters.
3) Making judgements: knowledge of the main issues related to the production of a mechanical component.
4) Communication skills: preliminary plan of stock-removing operations, programming in machine language.
5) Learning skills: drawing up the manufacturing cycles of mechanical components and their economic evaluation.

Learning objectives

The course aims at introducing the students to a general knowledge of the materials fundamental properties, linking them with the lattice structures and properties. The main structural differences among dielectrics, metals and semiconductors will be analysed. In particular the most important materials for the Nuclear Fusion (steels and superconductors). 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

The student will acquire the basic skills to develop the mechanization of the operations of the main agricultural, forestry and green maintenance sites.
In particular, he will be able to choose suitable machines for quality work (knowing materials, operating modes) and respecting constraints on mechanization (economic, environmental, safety, etc.).
Expected learning outcomes:
• Knowledge and understanding skills: the student will acquire knowledge and understanding about the principles underlying the design and operation of machines and plants and know how to introduce them into agricultural, forestry and green maintenance sites, while respecting various constraints.
• Ability to apply knowledge and understanding: the student will acquire the skills to apply the theoretical knowledge of the topics dealt in the course with a critical sense for the identification of individual machines, a park of machinery or plant for agricultural, forestry and green maintenance yards.
• Autonomy of judgment: the student will be able to select specific machines and plants suitable for the various types of agricultural, forestry and green maintenance sites, in an objective way, without letting them be influenced by the machine manufacturers and also respecting the social, scientific or ethics related to each decision of mechanization.
• Communicative Skills: the student will be able to communicate machine and plant information and their technical and economic requirements to third parties (employers, clients such as farms, forestry companies, etc.), motivating their choices.
• Learning ability: the articulation of the course will be developed in such a way as to convey to the students at first the "transversal" basic concepts, regarding any type of machine. Next, individual types of machines will be treated (most commonly in agricultural, forestry and green maintenance sites). The topics will be dealt with in order to stimulate the will to learn, in the logic of gradually developing knowledge, from mechanical materials and principles, to building and safety aspects, to machine management. The same logic is required in the creation of a textbook or presentation that will be taken into account in the assessment of learning.

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

Learning objectives

Knowledge and understanding: the student will be aware from a technical point of view of energy plants where biomasses and organic wastes are used.
Applying Knowledge and understanding: the student will be able to apply the acquired knowledge to choose the most suitable type of energy conversion process according to the type of biomass and the energy vector to be produced.
Making judgments: the student will became capable to judge the different options available given the nature of the feedstock available (kind of biomass, kind of organic waste) and the technological opportunities to valorize it as bioenergy.
Communication skills: the student will be capable to efficiently communicate concerning bio-energy options, processes and plants.
Learning skills the student will be taught that significant bioenergy process advancements are in progress, and that he/she should keep him/herself updated on the last technological outcomes that face the bio-energy market.

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

Learning objectives

The course aims at enhancing the comprehension of natural environmental processes and at introducing major traditional and remote environmental sensing techniques. The course provides concepts and methodologies to address engineering design in context where monitoring major environmental variables is necessary.
The course aim is the knowledge of hydrological processes monitoring. Specifically, the course will focus on instrumentations and sensing techniques useful for observing environmental parameters.
It is possible to identify three main aims:
1. Refresh of notions about hydrological processes and their modelling, with particular emphasis of river discharge and precipitations.
2. Learning about instruments and sensing techniques for hydrological observations.
3. Learning and applying innovative approaches based on image analysis.
Expected outcomes following the Dublin descriptors:
Knowledge and understanding: hydrological phenomena, specifically, rainfall and runoff formation. Common practice of data collection and measurements in hydrology.
Applying knowledge and understanding: the concepts with a more technical and applicative implication (tools and approaches for the measurement and estimation of hydrological variables) will be consolidated through both traditional (exercises) and advanced (small experiments to be developed independently) practical labs.
Making judgements - Communication skills - Learning skills: students will be asked to develop a project that, in addition to providing a practical example for estimating river flow velocity, will allow them to investigate on the role of the image analysis. The project will be assigned without a rigid scheme, students will be invited to identify a scientific question on which they can investigate with the software application. During the project they will identify the answer to the scientific question and motivate their conclusions. Setting small groups and interacting with the lecturer will stimulate Making judgements - Communication skills - Learning skills under the hydrological perspective.

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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

The course will provide the basics necessary to engineering understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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

The course will provide the basics necessary to physical understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices, (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
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

The objective of the module is the comprehension of the basic physics involved in powertrains:
- Provide the theoretical and analytical bases for understanding basic thermo-fluid dynamic processes within traditional and innovative powertrains.
- Provide methods and instruments for the design of powertrain components.
Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments useful for understanding the powertrain working principles (Dublin descriptors 1 and 5);
- Capacity of utilizing the methodologies for the design powertrain components (Dublin descriptors 2 and 3).

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to present methods and tools for the geometrical modelling and simulation
- to illustrate methods and tools for the creation and use of virtual prototypes to be used during the design and validation, as well as along the whole product lifecycle.7
- to illustrate innovative and standard techniques and technologies for the interaction with the virtual prototype.
- to face the issues related to virtual modelling in specific application contexts and related to the use of innovative industrial design technologies.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about solid and surface modelling; to know the role of virtual prototypes in the product development process; to know the most relevant tools to support the design and management of the product life cycle
2. Applying knowledge and understanding: to be able to use solid modelling and virtual prototyping tools; to be able to use design for X techniques; to be able to use life cycle design and management techniques
3. Making judgements: to be able to choose the most appropriate virtual prototyping tools to support the different product development phases
4. Communication skills: to demonstrate expertise on subjects related to virtual prototyping; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using virtual prototyping techniques
5. Learning skills: to be able to autonomously use tools and methods related to virtual prototyping.

Learning objectives

The course aims to give the students fundamental concepts and applicative knowledge of hydrogen technologies, covering all the steps of the value chain: production, storage and final use. Both conventional and innovative technologies are discussed to give the students the basic skills required to work in the hydrogen sector.
In particular, at the end of the course the student is expected to have the following knowledge:
- knowledge of hydrogen production systems
- knowledge of hydrogen storage systems
- knowledge of hydrogen final uses
Furthermore, at the end of the course the student is expected to have the following skills:
- ability to outline schemes and processes of thermochemical hydrogen production plants
- ability to choose renewable hydrogen production systems based on the type of application
- ability to choose hydrogen storage systems based on the production method and final use
- ability to analyze hydrogen final-use scenarios
Expected learning outcomes:
Knowledge and understanding: understand the fundamental principles associated with the techno-economic analysis of hydrogen systems.
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: being able to apply the acquired knowledge to solve simple problems in the techno-economic analysis of hydrogen systems.
Communication skills: knowing how to explain, both in written and oral form, the problem and possible solutions to simple situations concerning the techno-economic analysis of hydrogen systems.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the verification of hydrogen systems.

CHOICE GROUPSYEAR/SEMESTERCFUSSDLANGUAGE
MODULE II -9 - -
119568 - INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Year / First Semester 9eng
119572 - ITALIAN LANGUAGE – BEGINNER/PRE-INTERMEDIATEFirst Year / First Semester 3ITA
120015 - INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Year / First Semester 3ENG
120014 - INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Year / First Semester 6ENG
119569 - BIOMECHANICS LABORATORYFirst Year / Second Semester 3eng
119571 - LABORATORY OF MULTIPHYSICS MODELINGFirst Year / Second Semester 3eng
119949 - ITALIAN LANGUAGE - PRE-INTERMEDIATE/INTERMEDIATEFirst Year / Second Semester 3ita
120369 - TECHNIQUES FOR MATERIALS CHARACTERISATIONFirst Year / Second Semester 3eng
MODULE II -12 - -
119556 - NUMERICAL THERMO-FLUID DYNAMICS First Year / First Semester 6ING-IND/10eng
119574 - ADDITIVE MANUFACTURING - 6--
119574_1 - MODULE IISecond Year / Second Semester3ING-IND/15eng
119574_2 - MODULE IISecond Year / Second Semester3ING-IND/16eng
119560 - INTERNAL COMBUSTION ENGINES FUNDAMENTALSSecond Year / First Semester 6ING-IND/08eng
119561 - NON DESTRUCTIVE TESTING AND EVALUATIONSecond Year / First Semester 6ING-IND/12eng
MODULE II -6 - -
119558 - NEW MATERIALS FOR ENERGYFirst Year / Second Semester 6FIS/07eng
119564 - MACHINES FOR BIOSYSTEMSSecond Year / First Semester 6AGR/09eng
120362 - BIOENERGY - 6--
120362_1 - MODULE IISecond Year / First Semester3ING-IND/11ita
120362_2 - MODULE IISecond Year / First Semester3BIO/19ita
MODULE II -9 - -
119553 - ENVIRONMENTAL MONITORING FOR ENGINEERING DESIGN Second Year / First Semester 9AGR/08eng
119566 - NUCLEAR FUSION - 9--
119566_1 - MODULE IISecond Year / Second Semester5ING-IND/31eng
119566_2 - MODULE IISecond Year / Second Semester4ING-IND/31eng
MODULE II -6 - -
119562 - VIRTUAL PROTOTYPINGSecond Year / First Semester 6ING-IND/15eng
119563 - HYDROGEN TECHNOLOGIESSecond Year / First Semester 6ING-IND/08eng
MODULE II -9 - -
119551 - ADVANCED FLUID MACHINERY AND ENERGY SYSTEMS First Year / First Semester 9ING-IND/08eng
120481 - ENERGY SYSTEMS - 9--
120481_1 - MODULE IISecond Year / First Semester6ING-IND/08ita
120481_2 - MODULE IISecond Year / First Semester3ING-IND/08ita
MODULE II -6 - -
119556 - NUMERICAL THERMO-FLUID DYNAMICS First Year / First Semester 6ING-IND/10eng
120485 - COMPUTATIONAL FLUIS DYNAMICS AND SIMULATION OF POWER PLANTSSecond Year / Second Semester 6ING-IND/10ita
MODULE II -18 - -
119555 - MACHINE DESIGN First Year / Second Semester 9ING-IND/14eng
119559 - UNCONVENTIONAL TECHNOLOGIES AND MANUFACTURINGFirst Year / Second Semester 9ING-IND/16eng
120482 - THEORY OF MACHINES AND MECHANISMS 2Second Year / First Semester 6ING-IND/14ita
120484 - TECHNOLOGIES AND MANUFACTURING - 12--
120484_1 - MODULE IISecond Year / Second Semester6ING-IND/16ita
120484_2 - MODULE IISecond Year / Second Semester6ING-IND/16ita
MODULE II -6 - -
119558 - NEW MATERIALS FOR ENERGYFirst Year / Second Semester 6FIS/07eng
119564 - MACHINES FOR BIOSYSTEMSSecond Year / First Semester 6AGR/09eng
120362 - BIOENERGY - 6--
120362_1 - MODULE IISecond Year / First Semester3ING-IND/11ita
120362_2 - MODULE IISecond Year / First Semester3BIO/19ita
MODULE II -9 - -
119553 - ENVIRONMENTAL MONITORING FOR ENGINEERING DESIGN Second Year / First Semester 9AGR/08eng
119566 - NUCLEAR FUSION - 9--
119566_1 - MODULE IISecond Year / Second Semester5ING-IND/31eng
119566_2 - MODULE IISecond Year / Second Semester4ING-IND/31eng
MODULE II -6 - -
120483 - INTERNAL COMBUSTION ENGINESecond Year / First Semester 6ING-IND/08ita
119560 - INTERNAL COMBUSTION ENGINES FUNDAMENTALSSecond Year / First Semester 6ING-IND/08eng
MODULE II -6 - -
119562 - VIRTUAL PROTOTYPINGSecond Year / First Semester 6ING-IND/15eng
119563 - HYDROGEN TECHNOLOGIESSecond Year / First Semester 6ING-IND/08eng
MODULE II -3 - -
120522 - FINITE ELEMENT METHODFirst Year / First Semester 3ING-IND/14ENG
120523 - SPECIAL CHAPTERS OF FLUID MECHANICS/MANUFACTURING TECHNOLOGY AND MANAGEMENTFirst Year / First Semester 3ING-IND/10ENG
120528 - MATERIALS AND STRUCTURES / DESIGN AND VISUAL IMPACTFirst Year / Second Semester 3ING-IND/15ENG