General Info

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

Knowledge and understanding
Students will acquire basic knowledge of the practical workflow required to perform CFD simulations for simple thermo-fluid dynamic problems relevant to mechanical engineering. They will understand the main steps involved in domain definition, mesh generation, boundary condition assignment, solution setup, and post-processing.

Applying knowledge and understanding
Students will be able to set up and run guided CFD simulations using appropriate software tools. They will apply basic modelling assumptions, check mesh quality and convergence, and analyse the main flow and thermal quantities obtained from the numerical results.

Making judgements
Students will develop the ability to recognise the main factors affecting the reliability of CFD results, including mesh resolution, boundary conditions, and modelling assumptions. They will be able to identify possible limitations of a simulation and interpret the results with appropriate caution.

Communication skills
Students will be able to present the setup and results of a CFD simulation using appropriate technical terminology, plots, contours, and basic quantitative indicators.

Learning skills
Students will acquire practical skills that support further independent learning in CFD methods and software tools, and their application to more complex engineering problems.

• Satya Prakash SARASWAT

Learning objectives

Knowledge and understanding
Students will acquire basic knowledge of the practical workflow required to perform computational analyses of simple mechanical and structural problems. They will understand the main steps involved in geometry idealisation, discretisation, material definition, application of loads and constraints, solution setup, and post-processing.

Applying knowledge and understanding
Students will be able to build and solve guided computational models of mechanical components or simple structural systems using appropriate software tools. They will apply basic modelling assumptions and analyse relevant quantities such as displacement, stress, strain, and reaction forces.

Making judgements
Students will develop the ability to recognise the main factors affecting the reliability of computational mechanics results, including mesh resolution, boundary conditions, material properties, and modelling assumptions. They will be able to identify possible limitations of a numerical model and interpret the results critically.

Communication skills
Students will be able to present the setup and results of a computational mechanics analysis using appropriate technical terminology, plots, tables, and basic engineering indicators.

Learning skills
Students will acquire practical skills that support further independent learning in computational mechanics methods and software tools, and their application to more complex mechanical and structural problems.

• Pranjal Tamuly

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.

• Claudia PELOSI

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.

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.

• Ilaria ARMENTANO

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.

• Claudia PELOSI

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.

• Mauro SCUNGIO

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).

• Giuseppe Celentano

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.

• JURI TABORRI

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).

• Andrea Luigi FACCI

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 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.

• Emanuele MINGIONE

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.

• Emanuele MINGIONE

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.

• Massimo Cecchini

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

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.

• Marco Barbanera

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.

• Silvia CROGNALE

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.

• Stefano UBERTINI