| 10609391 | INDUSTRIAL PLANTS ECO-MANAGEMENT [ING-IND/17] [ENG] | 1st | 1st | 9 |
Educational objectives The course aims to introduce the knowledge of the Industrial Company and its technical and production assets, with a view to Resilience and Sustainability. The general objective is therefore the Technical-Economic-Financial Study of an industrial initiative that meets well-defined Resilience and Sustainability objectives.
The criteria and methods for the Design of Industrial Plants and the related Service Plants and Facilities are then introduced, including the aspects of Safety and Maintenance of workplaces, equipment and systems, with a view to achieving the Resilience and Sustainability objectives.
Particular emphasis is given to Technological Innovation, especially in view of the Industry 4.0 paradigm and the related "enabling" technologies: Big Data, Cloud Computing, Internet of Things, Machine Learning, Intelligent Tele-maintenance.
The course is developed through theory classes and assisted exercises aiming at preparing a group project, consisting of the Feasibility Study of a green industrial investment, oriented towards the integration of innovative technologies and the pursuit of Resilience and Sustainability objectives.
At the end of the course the student will have acquired the following knowledge:
1. How a green industrial company is organized and managed
2. How the economic performance and efficiency of an industrial company is verified
3. How the feasibility of a green industrial investment is verified
4. How to design an industrial plant
5. Quality, safety and maintenance for the pursuit of Resilience and Sustainability objectives.
Specific ability achieved by the student at the end of the course will consist in the autonomous ability to develop the technical-economic-financial feasibility study of a green industrial investment.
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| 10609395 | CIRCULAR ECONOMY [ING-IND/35] [ENG] | 1st | 1st | 6 |
Educational objectives The course provides the tools to understand the reality of sustainable business in terms of: distinctive elements, purposes, strategic management, relationships with the environment, organization and internal relationships.
The course provides skills on the issues of innovation and sustainability, in terms of economic-financial, social and environmental analysis; provides training oriented towards the study of business systems and integrated reporting, in order to make economic-financial performance compatible with environmental, social and governance (ESG) indicators.
At the end of the course the student will have the skills to understand the requirements of a sustainable company in terms of: strategic management, strategic planning, internal organization, analysis and construction of the competitive advantage. The student will be able to define a strategic plan through: internal and external analysis, competition assessment, choice of markets, definition of an offer for the various stakeholders in a sustainable approach. Furthermore, the student will have the knowledge of the main methods of certification and measurement of sustainability.
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| 10609397 | URBAN MINING AND RECYCLING PROCESSES [ING-IND/29] [ENG] | 1st | 2nd | 9 |
Educational objectives The course is aimed at providing expertise in waste recycling processes and valorization of secondary raw materials, considering technical, economic and environmental aspects as well as technological innovations of the sector. The course aims to illustrate the main technologies and related equipment at laboratory scale and / or industrial plant in order to carry out the recognition, characterization, selection and treatment of recycled materials of different nature, both from civil and industrial sources. Starting from the knowledge of solid particle properties, it will be possible to evaluate and define the most suitable physical-mechanical treatment techniques for the different waste materials, as well as for different types of end-of-life products, in order to produce secondary raw materials. Furthermore, some of the main recycling production chains will be examined, highlighting the existing issues and the key factors of each process.
Based on the acquired knowledge, the student will be able to define the fundamental operations, their sequence and logic in order to design a mechanical recycling process to recover materials from waste and end-of-life products by choosing the most suitable separation methods, defined from the characterization of solid waste materials, also through innovative approaches. The student will also develop the ability to evaluate, select and apply quality control methods for both feed streams and outputs of a recycling plant, in order to optimize the processes, maximizing the recovery and the value of the secondary raw materials.
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| 10609393 | MATERIALS SELECTION IN ECO-DESIGN [ING-IND/22] [ENG] | 1st | 2nd | 9 |
Educational objectives GENERAL OBJECTIVES
Product performances are directly influenced by both classical and non-technical properties of the materials used. That is why Material Selection Process (MSP) is an important part of the design process. The objective of this course is to show that existing material selection approaches including mechanical and environmental criteria are not enough complete to make optimal material choice in preliminary design phase. Indeed, in this design phase, it is necessary to do the best choice in order to optimize technical and economical requirements of a component while reducing the product Environmental Impact (EI) in the whole Life Cycle (LC).
The aim for this course is to provide the student with:
- basic knowledge about different methods for materials selection
- experience from case-studies with the methodology for systematic selection of materials, design and manufacturing methods for components or products
- basic knowledge about the connections between environment, energy and materials selection with regard to their manufacturing methods and for different products during their life-cycle
- knowledge about methods for design of processes and products with regard to sustainable development
- ability to make environmentally sound selections of materials with regard to manufacturing methods and life-cycle aspects.
SPECIFIC OBJECTIVES
Knowledge and understanding:
Upon completion of the course, the student will have combined the knowledge of chemistry principles with application-oriented principles typical of science and technology of materials. The student will have a broad understanding of the different classes of materials that are relevant to industrial applications in terms of their chemical composition, microstructure, in-service applicability and recyclability. In addition, the student will develop a general understanding of the in-service performance of materials and of numerical criteria for their design.
Applying knowledge and understanding:
Upon completion of the course, the student will be able to select the right material to meet in-service requirements of the specific application. The student will be able to devise suitable chemical and physical treatments of the materials in order to modify their microstructure and improve their properties. The student will be also able to develop the correct strategies to enhance the lifetime and the recyclability of a material.
Making judgement:
Upon completion of the course, the student should be able to develop a critical assessment of the properties of a material with a view to predicting its in-service response.
Communication skills:
Upon completion of the course, the student will have gained a knowledge of the specific technical and scientific language and will be able to present and defend the acquired knowledge during the oral exam.
Learning skills:
Upon completion of the course, the student will be able to use the models and theoretical principles to discuss the suitability of a material to a specific real-life application.
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| 10609396 | EUROPEAN AND INTERNATIONAL LAWS [IUS/14] [ENG] | 1st | 2nd | 6 |
Educational objectives Knowledge and understanding: students will be able to have an advanced understanding of the constitutional and material questions of the EU Law, the functioning of the European Union institutions and the legislation made under the Treaties.
Applying knowledge and understanding: students will be able to have a basic knowledge on the proceedings in front of the European Court of Justice and on topics as citizenship and non-discrimination.
Making judgement: students will develop an autonomous judgment capability on the fundamentals of European Union law, in a historical, theoretical, and critical perspective.
Communication skills: students will develop an attitude to legal reasoning and the ability to discuss on the fundamentals of European Union law.
Learning skills: At the end of the course, the students will be familiar with the basic rules governing the EU.
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| 10609398 | GREEN CHEMICAL PROCESSES FOR PHARMACEUTICAL AND AGROFOOD INDUSTRIES [ING-IND/27] [ENG] | 1st | 2nd | 9 |
Educational objectives The course aims to provide students with knowledge on eco-sustainable applications useful for tackling the
various contemporary environmental problems and challenges in the pharmaceutical and agro-food
industries.
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| AAF1938 | ELECTIVE COURSE [N/D] [ENG] | 1st | 2nd | 6 |
Educational objectives One course of the student's choice
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| Optional group: THREE-DIMENSIONAL MODELING | | | |
| 10592833 | MACHINE LEARNING [ING-INF/05] [ENG] | 2nd | 1st | 9 |
Educational objectives General Objectives:
The objectives of this course are to present a wide spectrum of Machine
Learning methods and algorithms, discuss their properties, convergence
criteria and applicability. The course will also present examples of
successful application of Machine Learning algorithms in different
application scenarios.
The main outcome of the course is the capability of the students of
solving learning problems, by a proper formulation of the problem, a
proper choice of the algorithm suitable to solve the problem and the
execution of experimental analysis to evaluate the results obtained.
Specific Objectives:
Knowledge and understanding:
Providing a wide overview of the main machine learning methods and
algorithms
for the classification, regression, unsupervised learning and
reinforcement learning problems. All the problems are formally defined
and theoretical basis as well as technical and implementation details
are provided in order to understand the proposed solutions.
Applying knowledge and understanding:
Solving specific machine learning problems starting from training data,
through a proper application of the studied methods and algorithms. The
development of two homeworks (small projects to be developed at home)
allows the students to apply the acquired knowledge.
Making judgements:
Ability of evaluating performance of a machine learning system using
proper metrics and evaluation methodologies.
Communication skills:
Ability of writing a technical report describing the results of the
homeworks, thus showing abilities in communicating results obtained from
the application of the acquired knowledge in solving a specific problem.
Being exposed to examples of communication of results obtained in
practical cases given by experts within seminars offered during the course.
Learning skills:
Self-study of specific application domains, problems and solutions
during the homeworks, with possible application of teamwork for the
solution of specific problems.
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| AAF1938 | ELECTIVE COURSE [N/D] [ENG] | 2nd | 1st | 6 |
Educational objectives One course of the student's choice
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| 10609392 | SAFETY SYSTEMS [ING-IND/28] [ENG] | 2nd | 2nd | 9 |
Educational objectives The course aims to provide the analytical bases functional to the evaluation models and design methods
related to the "planning and verification of Critical Infrastructures (CIs)", understood as a service referable
primarily to mobility infrastructures, more generally, to complex systems where risk analysis is required to
verify safety conditions (general target). The main topics are:
Asset System Definition and Characterization (knowledge and understanding)
The definition of data collection for Critical Infrastructures (CIs, i.e. roads and railways) and their functional
classification is based on fixed target set (i.e. public transport, cargo and dangerous goods transport,
mobility) and on operational continuity (internal and external interdependencies) both in ordinary
conditions and in emergency. The resulting operational classification of critical points, according to the
guidelines on CIs monitoring and maintainability in order to operational classify in warning classes, is the
actual proposal compliant with critical component classification to define durability (Assets’ Age) and
vulnerability to hazards. Consequently impact analysis of functional unavailability on services continuity
(evaluation of interconnections and alternative paths) is derived to investigate redundancy and verify
alternative paths to guarantee services continuity. Results imply the definition of critical points ranking. In
addition, the scenarios analysis, based on Initiating Events (i.e. seismic event, fire event, both natural and
anthropic hazards), is proposed to quantify the hazard flow versus exposed people, services and assets. The
hazard identification for critical points allows mapping of hazard indicators.
Learning achievements (applying knowledge and understanding):
1: CIs: data collection and their functional classification based on target set (i.e, public transport, cargo and
dangerous goods) and operational continuity (internal and external interdependencies) both in ordinary
conditions and in emergency.
2: CIs: analysis of critical points according to the guidelines on CIs monitoring and maintainability in order
to operational classify in warning classes.
3: CIs: Impact analysis of functional unavailability on service continuity (evaluation of interconnections and
alternative paths).
4: CIs: Ranking of critical points. Scenarios analysis based on Initiating Events (i.e. seismic event, fire event)
to quantify hazard flow versus exposed people, services and assets.
5: CIs: hazard identification for critical points (Hazard Indicators mapping).
Multi-hazard risk assessment of infrastructure networks and assets (knowledge and understanding)
Main knowledge derives from a comprehensive multi-hazard risk assessment framework to be used for
linear critical infrastructures (i.e., road and railway networks, oil and gas pipelines, distribution networks
for energetic purpose, hydraulic networks for civil purposes, as well as point-like infrastructures). The
reliability analysis results by scenario simulations referred to multiple hazards, analysis of the interactions
between different hazard sources, domino effects and interdependencies between CIs component.
Risk Evaluation: Quantitative Probabilistic Risk evaluation is directed towards the question of acceptability
and the explicit discussion of safety criteria. For a systemic and operable risk evaluation one has to define
safety criteria and to determine whether a given risk level is acceptable or not. In other words risk
evaluation has to give an answer to the question “Is the estimated risk acceptable?”
Risk and Safety Management: If the estimated risk is considered as not acceptable, additional safety
measures have to be proposed. Therefore the effectiveness and also cost-effectiveness of different safety
measures can be determined by using the initial frequency and consequence analysis of the scenarios
which will be positively or negatively affected under the assumption that the investigated safety measure
has been implemented.
Learning achievements (applying knowledge and understanding):
1: Development of multi-hazard risk assessment for road and railway networks, including main types of
consequences that can be analyzed in a critical infrastructure risk assessment.
2: Quantitative probabilistic risk assessment: fault tree and event tree analysis, multi-hazard scenarios
analysis, fire and evacuation simulation for road and railway tunnels
3: General model for interactions and interdependencies among components of the same critical
infrastructure as well as with components of other types of critical infrastructures is defined. Consequently
integrated framework for the multi-hazard risk assessment of CIs will be set up accounting also for
interactions and interdependencies.
Integrated Technologies and Solutions for Holistic Risk Reduction & Resilience Enhancement (knowledge
and understanding)
Main knowledge derives from holistic integrated solutions addressing an overall protection of roads and
railways. Safety is investigated at different levels: starting from single asset (road or rail and their critical
points) to global network (interconnections and alternative paths), with focus on interdependencies and
domino effects, considering multi-risks natural or accidental and will be addressed through development of
open knowledge-sharing tool.
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| AAF2337 | APPRENTICESHIP [N/D] [ENG] | 2nd | 2nd | 6 |
Educational objectives
Apprenticeship
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| AAF1811 | Final dissertation [N/D] [ENG] | 2nd | 2nd | 24 |
Educational objectives Final dissertation
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| Optional group: THREE-DIMENSIONAL MODELING | | | |
