1022010 | BUILDING TECHNOLOGY
| 1st | 2nd | 9 | ITA |
Educational objectives Using design examples to highlight the need to tackle the solution of structural problems with methodological rigor based also on specific insights and the comparison between the adoptable solutions.
Stimulate the need for comparison with colleagues and the need that third parties validate the adopted solutions. To favor a collaborative approach for 1) the development of a solution and 2) for the integration of independent solutions.
Teach the basis of the design and verification for Steel and Reinforced Concrete Structural elements
Stimulate the critical reading of technical regulations
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10599811 | Geolocation and Navigation | 2nd | 1st | 6 | ENG |
Educational objectives GENERAL OBJECTIVES
The course aims to provide the fundamentals of geomatics with respect to positioning and navigation (Global Navigation Satellite Systems - GNSS) and the storage and management of spatial data (Geographic Information Systems - GIS).
The teaching starts from the fundamentals of Geodesy (reference systems and coordinate systems) and then deals with the observables of satellite positioning systems and their treatment aimed at estimating geometric parameters. Finally, modern spatial data management techniques will be analyzed.
The fundamental objective of the course is the process of defining, generating and managing spatial data.
SPECIFIC OBJECTIVES
1. Knowledge of the international geodetic reference system.
2. Knowing how to identify and use the suitable instrumentation to acquire GNSS observations for different types of applications.
3. Making judgement: To understand the most appropriate approach (mathematical and physical) to the processing of observations aimed at estimating geometric parameters
4. Communication skill: To present and defend the acquired knowledge during an oral and/or written exam.
5. Learning skill: To use the management systems of the estimated parameters for applications related to geomatic monitoring and navigation
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10599947 | Urban mining and recycling of materials | 2nd | 1st | 9 | ENG |
Educational objectives General learning outcomes
The course aims to provide knowledge and develop skills related to urban mining and recycling processes of end-of-life products turning them into secondary raw materials, in agreement with the principles of circular economy and the sustainable development goals of UN AGENDA 2030, with particular reference to SDG11 (Sustainable cities and communities), SDG12 (Responsible consumption and production), SDG13 (Climate action). In particular, the course aims to illustrate the main technologies and related equipment at laboratory and / or industrial plant scale in order to carry out the recognition, characterization, selection and treatment of materials to be recycled of different nature and origin (packaging waste such as plastic, glass, paper and aluminum, construction & demolition waste, waste from electrical and electronic equipment, end-of-life vehicles, etc.). Starting from the knowledge of solid particle properties, it will be possible to evaluate and define the most suitable physical-mechanical treatment techniques in order to produce secondary raw materials, taking into account technical, economic, environmental aspects and technological innovations of a rapidly evolving sector. Some of the main recycling chains for the production of secondary raw materials will be then examined, highlighting the critical issues and the key factors of each of them.
Specific learning outcomes
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 process to produce secondary raw materials from end-of-life products, 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 actions for both feed and output streams in a recycling plant, in order to optimize the processes, maximizing waste recovery and secondary raw materials value, in the perspective of circular economy and efficient use of resources.
After passing the exam, students will be able to:
● Understand the fundamental principles for the recycling-oriented characterization of materials
● Apply traditional and innovative analytical techniques for material recycling
● Know the recycling technologies for different waste materials and end of life products
● Understand and evaluate recycling processes considering both technical and economic aspects
● Apply the fundamental principles for the physical separation of materials to be recycled
Students will also acquire the following transversal skills:
● Demonstrate effective communication with specialists and non-specialists
● Team work ability
● Write a technical-scientific report
● Make an oral presentation
● Analyze issues critically
● Access and select appropriate sources of information
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10599942 | Environmental Economics | 2nd | 1st | 6 | ENG |
Educational objectives General learning outcomes
This course introduces you to economic perspectives on modern environmental issues. We will study economic theories related to natural resources, with an emphasis on the strengths and weaknesses of alternative viewpoints. You will learn that economic objectives do not necessarily conflict with environmental goals, and that markets can be harnessed to improve environmental quality. We will also discuss the limitations of economic analysis to provide policy guidance on environmental issues.
Specific learning outcomes
Knowledge and understanding skill
At the end of the course the students will have acquired both theoretical knowledge as well as knowledge on specific applications including renewable and non- renewable resources, with a specific focus on circular bioeconomy. By the end of the course, students will be able to express an informed view regarding the potential of economics to help societies achieve their environmental goals.
Applying knowledge and understanding skill
At the end of the course the students are able to identify actions for improving environmental quality and promoting a sound sustainable transition. They are able to assess and define policy measures based on the knowledge acquired throughout the course. They apply to real case studies models and theories with specific reference to circular bioeconomy.
Making judgement skill
The students exercise their making judgement skill by means of the preparation of a power point presentation based on a real case study, to which apply theories and models presented during the course.
Communication skill
The students exercise their communication skill during the presentations, projected to the whole classroom. Moreover, the preparation of the ppt presentation involves communication, in textual and graphical form, to present orally to the class.
Learning skill
The students exercise their self-learning skill by tackling the analysis of sustainability assessment with a focus on LCA and S-LCA methodologies. This analysis requires adapting general theoretical concepts to specific case studies especially for the bioeconomy sector.
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10611926 | ENVIRONMENTAL LEGISLATION | 2nd | 1st | 6 | ITA |
Educational objectives The main outcome of this course is to provide the students with the basics of Environmental Law with a specific focus on the Italian, European and International regulatory Framework.
Special attention is devoted to the practical implications of Environmental Law concerning several topics addressed in the Master’s Degree (Pollution, Land Planning etc.), as well as to the implications affecting the professional activity of the Environmental Engineer.
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1002874 | Rock Mechanics | 2nd | 1st | 6 | ITA |
Educational objectives The course is devoted to illustrate the mechanical behavior of rock masses with the aim to: a) design a plan of investigations; b) carry out the mechanical characterization of rock masses; c) identify the instability mechanisms of rock slopes; d) analyse the stability conditions of slopes; e) plan the design of stabilization measures.
At the end of the course successful students, not only they acquire key competences (knowledge and understanding), also acquire the ability to independently handle the complexity of geotechnical problems (applying knowledge and understanding). In addition, for the recognition of instability phenomena and for the choice of methods and models of stability analyses, students have to make technical choices having reduced information, which is typically encountered in geotechnical problems (making judgements). Finally, for the design of stabilization measures, students have to take responsibility for assuming technical decisions (making judgements).
Since the required engineering project is based on real cases, students have to turn complex reality into possible simplified models. Then students are called to: define the gaps of information provided in the real case, identify additional requests for improving knowledge, independently address any further studies intended for his/her learning (learning skills)
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1021791 | Principles of environmental chemistry
| 2nd | 2nd | 6 | ITA |
Educational objectives This module aims at expanding the fundamental knowledge of general inorganic and organic chemistry, giving students a essential knowledge of the various forms of pollution and the basics for understanding the mechanisms that regulate the chemical reactions of substances involved.After completing this course the student will be able to approach – in team with area experts – environmental questions linked to knowledge, determination and treatment of different air, water and soil pollutants (acid rains, noxious gases, toxic organics recalcitrants, heavy metals) and related to the knowledge of oxidative processes of metal corrosion (engineering works, conservation of cultural goods).
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1047247 | Sampling and soil washing. | 2nd | 2nd | 6 | ITA |
Educational objectives The course provides the students with the ability to plan an environmental characterization and a remediation of a polluted site with particular reference to the soil compartment. That is carried out with the application of inferential statistical techniques and of remediation methods aimed to the separation between the contaminant and the natural soil. That approach is harmonized with the environmental legislation on remediation of polluted sites.
A)Knowledge and understanding: Students learn to think according to a statistical, non-
deterministic mode in the evaluation of the contamination level of a site. This assumes both the comprehension of the most applied statistical inferential techniques and consideration of the variability of the environmental factors taken into account during the analysis of a potentially polluted site. The culture of planning and designing is acquired before and after sampling that is the first, fundamental step for evaluation of the cleanliness of a site and for the choice of the suitable
physical decontamination techniques that are preliminary to any final remediation of a polluted site
B)Applying knowledge and understanding: Skill in organizing an environmental sampling of
polluted sites after determination of the conceptual model of the site. Skill in elaborating
experimental data with a probabilistic non-deterministic approach according to statistical inference techniques taking into account the variability of concentrations on the entire polluted site.
Knowledge of the program Visualplan for organization, management and elaboration of
experimental data coming from an environmental characterization. Representative sampling of large samples into smaller samples. Knowledge and use of physical separation methods (soil washing) for preliminary decontamination of polluted soils. Knowledge of the analytical techniques used in environmental field to analyze samples coming from a polluted site.
C)Making judgements: with conducting applicable examples during and at the end of the course, the student will become skill in the choice of the best approach to evaluate the state of contamination of a polluted site and to plan the best environmental characterization both in terms of economic and environmental point of view to obtain the separation between the contaminant and the natural soil.
D)Communication skills: the chronology of subjects treated in class, has been designed to allow the student to acquire gradually and consequently such subjects and with a technical language that will permit them to relate in an effective way to a staff established to carry out an environmental characterization and a preliminary physical remediation. This will also permit the student to transfer his knowledge to other people.
E)Learning skills: the theoretical and practical knowledge of the statistical sampling and of the physical remediation of a polluted soil, will allow the student to carried out technical insights on the learned subjects to propose innovative techniques based on the statistical non-detrministic approach aimed to the sampling of a polluted site and of innovative separation techniques between the contaminnat and the natural soil aimed to the remediation of a contaminated soil.
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10599950 | Assessment and sustainable use of environmental resources | 2nd | 2nd | 6 | ENG |
Educational objectives General learning outcomes
The course aims to provide the scientific basis and technical knowledge to develop interdisciplinary skills aimed at assessing the sustainability of the use of renewable and exhaustible resources and, in general, of all production activities. Through the knowledge and use of tools and methods for environmental monitoring, for the characterization of the environmental and energy loads of the production cycles (LCA) and the related environmental costs (LCC), the course, in accordance with the principles of circular economy and with the SDGs n. 7, 11, 12 and 13 of the UN AGENDA 2030, aims to analyze the product and/or process impacts, pursuing the control and improvement of environmental performances, also in order to implement voluntary adhesion tools such as Environmental Labeling and Environmental Management Systems.
Specific learning outcomes
Knowledge and understanding
At the end of the course, students will be able to:
● define the elements that identify a sustainable growth; evaluate what use of renewable resources can be considered sustainable and how mining exploitation and the use of exhaustible resources should be analyzed with a view to rationalization and reduction, without neglecting the eco-compatibility of the extraction processes;
● know the Life Cycle Assessment methodology, identifying it as a tool for characterizing the environmental and energy load throughout the life cycle of a product/service and as a useful tool for identifying possible mitigation interventions on induced environmental impacts, also through the reduction of raw materials and energy used in a system;
● know the Life Cycle Costing methodology as a tool for assessing total costs (private and environmental) throughout the life cycle of a product/service; discern the implications of replacing the "price" criterion of an asset with that of "cost", with a view to circular economy;
● know the ecological labelling systems and the management tools that allow economic and non-economic organizations to control the environmental impacts of their activities, pursuing the continuous improvement of environmental performance;
● know image processing techniques in order to characterize the territory and all its components from a qualitative and quantitative point of view, through the study and interpretation of medium and high resolution satellite images.
Applying knowledge and understanding
At the end of the course, students will be able to:
● evaluate the economic feasibility of the exploitation and use of exhaustible and renewable resources;
● develop an LCA by setting the different phases of the methodology: functional unit and system boundaries, inventory analysis (LCI) with the creation of an analog model of the system, identification of process inputs and outputs, analysis and interpretation of data related to the resulting impacts (LCIA);
● set up an hypothetical procedure for ecological product/service labelling, choose the type of labelling according to the objectives and the monitored product/service group; create impact indicators in order to simplify the obtained information and make it accessible even to non-experts;
● use image processing software to radiometrically and geometrically correct satellite images at different resolutions; evaluate the coverage elements from a qualitative and quantitative point of view and make a photo-interpretation of these elements; identify color-composite images and standardized "indices" that amplify the interpretative skills by highlighting the characteristics of the coverage elements.
Making judgements
By sharing presentations, documents and specific publications, the course will develop students' analytical skills and independent judgment, stimulating the evaluation of the specific system dealt with in order to identify the critical elements and the possible improvements. During the lessons, LCA and satellite image analysis software will also be used to present application cases, even complex ones, encouraging students to discuss interpretative hypotheses and possible analytical solutions to the highlighted problems. At the end of the course, students will be able to work on the topics covered both independently and as members of a team.
Communication skills
The teacher will stimulate the students' communication skills, inviting them to discussion and analysis on the topics and application cases dealt with.
Learning skills
The sharing of the material relating to the course, the discussion and identification of the main actors in reference to the covered topics, the identification of how the concepts of sustainable development and circular economy interact with all anthropogenic production/consumption activities: all this will help the students to develop a strong ability to continue, in total autonomy, the study and the professional and scientific updating on the topics dealt with
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10599943 | Renewable Energy | 2nd | 2nd | 6 | ENG |
Educational objectives The course is designed to equip students with a broad training in, and
understanding of, energy production, delivery, consumption, efficiency,
economics, policy and regulation. These are considered in the context
of the sustainability of energy supply and consumption patterns, both
locally and globally.
A feature of the course is its broad approach to the development of
sustainable routes to the generation and supply of energy within which
renewable energy is a key theme. The course is engineering-based but
also covers a wider range of topics including economics, sustainability
and environmental studies.On successful completion of this course, students will be able to:
Understand and evaluate alternative modes of energy supply, including
fossil-fuelled, nuclear and renewables-based supply, appreciate the
development of and constraints on carbon- and non carbon-based energy
resources, understand the challenges and constraints on end-use
efficiency of energy, appreciate the economic, policy and regulatory
frameworks within which decisions on energy futures are made, be
conversant with the problems of energy distribution and the constraints
on present distribution systems, critically analyse competing claims in
the energy sector, evaluate options for energy supply, distribution,
utilisation, articulate environmental sustainability of energy supply
systems, analyse the technical:economic interaction of developments in
the energy system
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10599940 | Remote sensing and Geo Big Data | 2nd | 2nd | 9 | ENG |
Educational objectives General outcomes
The course finds its motivation in the wide and continuously increasing availability of Earth Observation data, acquired by a variety of satellite missions. A large part of these remote sensing data comes from public programs (e.g. Copernicus from EU, Landsat from US), and it is made available for free on dedicated cloud-based platforms for planetary-scale environmental data analysis (e.g. Google Earth Engine, ESA DIAS).
In addition, another large amount of data can be collected on the ground by different widely common low-cost sensors (e.g. those embedded in smartphones) through Volunteered Geographic Information (VGI) and crowdsourcing; these ground data are generally linked to a position using GPS or similar Global Navigation Satellite Systems (GNSS: Galileo, GLONASS, Beidou).
Both these kinds of remote sensing and ground data are therefore geospatial “big” data, due to their “4V” (Volume, Variety, Velocity, Veracity) features. They can be integrated in between, and with other already available geospatial information, and represent an unprecedented resource to monitor the status and change of our planet in several respects (e.g. climate change effects, SDGs achievement), useful to scientists, technicians and decision makers.
The course aims to provide the fundamentals on the main methodologies and techniques currently available for remote sensing and ground geospatial (big) data acquisition, verification, analysis, storage and sharing, also considering that
the vast majority (a percentage close to 80%) of the currently available data is geospatial.
Knowledge and understanding
Students who have passed the exam will know the fundamentals on the main methodologies and techniques currently available for geospatial data acquisition, verification, analysis, storage and sharing, with focus on reference frames and reference systems on the Earth, fundamentals of cartography, photogrammetry and remote sensing, GNSS remote sensing, and cloud-based platforms for planetary-scale environmental data analysis (Google Earth Engine), being also aware of the relevant resources represented by Volunteered Geographic Information (VGI) and crowdsourcing.
Applying knowledge and understanding
Students who have passed the exam will be able to plan and manage the acquisition, verification, analysis, storage and sharing of geospatial data necessary to solve interdisciplinary problems, using GNSS, photogrammetry and remote sensing, and cloud-based platforms for planetary-scale environmental data analysis (Google Earth Engine), being also aware of the relevant additional contributions which can be supplied by Volunteered Geographic Information (VGI) and crowdsourcing
Making judgment
Students will acquire autonomy of judgment thanks to the skills developed during the execution of the numerical and practical exercises that will be proposed on the main topics of the course photogrammetry and remote sensing, Google Earth Engine)
Learning skills
The acquisition of basic methodological skills on the topics covered, together with state-of-the-art operational skills, favors the development of autonomous learning skills by the student, allowing continuous, autonomous and thorough updating
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