Educational objectives Internship
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Educational objectives Introduction to the energy system modelling concepts. • understanding of the physical, geographical, environmental and social limits of an energy systems • development of understanding and knowledge about the transient energy systems simulation applications and potentialities • understanding and capability to select modelling tools with respect to the characteristics of different energy systems in several time horizons • understanding the transient concept concerning energy systems, focusing on renewable energy sources • approach to a transient modelling and simulation software for energy systems • capability to analyze and model an energy system (final users characterization, load curves reconstruction, energy efficiency interventions and renewable energy sources application)
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Educational objectives Course introduces the operation and use of a processing system with an emphasis on tools and tools
Techniques used for its programming and its structure, both hardware and software.
Objectives specify:
The knowledge of
• the constructs of a real programming language,
• the principles by which algorithms are formulated on the main data structures that make use of arrays,
• fundamental elements of the architecture of computing systems,
• the representation of the information by coding with particular reference to the
Representation of numbers, software development tools, and operating systems.
In terms of skills and competences, the objectives of the course are
• the ability to formulate a C-language algorithm in a specific development environment,
• to perform its testing and debugging,
• the ability to use the MATLAB environment for the development of simple technical applications -Scientific,
• the construction of graphic interfaces
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Educational objectives The laboratory has the general objective of applying the theoretical and technical elements of territorial and urban planning in order to set up the implementation of one of the tools that are applied in the planning processes, such as technical-economic feasibility projects, environmental impact assessments, strategic environmental assessments etc.
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Educational objectives The hyperspectral imaging laboratory consists in the application of hyperspectral imaging techniques aimed at the recognition, characterization, sorting and quality control of primary and secondary raw materials.
The students will learn to acquire and to interpret hyperspectral images and data analysis by user‐friendly and intuitive software solutions.
The students will be introduced to the basics of chemometrics, visible and near infrared spectroscopy and digital imaging by practical laboratory work using high‐speed hyperspectral instruments.
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Educational objectives GENERAL OBJECTIVES
The workshop aims to provide a theoretical and practical framework to frame the link among the economy, society, and the environment, analysing decisions and policies that public operators implement to manage environmental issues arising from economic activities.
SPECIFIC OBJECTIVES
The workshop aims to acquire and deepen the understanding of issues and main methodologies for the analysis of socio-environmental phenomena, externalities, use of resources, their interaction with the economic system from a perspective that encompasses both directions of growth and development. The expected learning outcomes to be assessed are:
- Students should acquire theoretical knowledge and applied understanding of the relationships between environmental protection, pursuit of economic efficiency and market externalities. They will explore sustainability as a synthesis of the ability to promote growth through the satisfactory allocation of resources and goods and the ability to preserve the ecological basis of development.
- Students will be able to understand and evaluate, with a critical spirit and autonomy of judgement, the role of environmental policy and public intervention in orienting and regulating markets and operators towards sustainability: from the distribution of resources and income to the main economic effects, as well as hypotheses, instruments and environmental policies alternative to the present (environmental taxation, pollution certificates, green economy, blue economy).
- Students will be able to use the acquired knowledge on a conceptual and operational level with an autonomous evaluation capacity: at the end of the workshop, the students will have the ability to judge and be critical about environmental policy proposals and choices. They will be able to analyse the main economic effects of public and private environmental choices, both in terms of fairness and efficiency.
- Students will acquire the language of the discipline in order to be able to communicate unambiguously with specialist and non-specialist interlocutors such as companies and institutions.
- Students will develop competences that will allow them to deepen autonomously the discipline, also and above all in the working contexts in which they will operate. The workshop will explore, with a rigorous formal approach, methodologies for the evaluation of environmental costs and benefits.
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Educational objectives GENERAL OBJECTIVES
The course aims to integrate students' knowledge in the field of numerical simulation of fluid dynamics problems in the environmental context. Starting from the theoretical analysis of the behavior of numerical schemes in simple model equations, the student will be introduced to the working principles underlying two-dimensional and three-dimensional numerical solvers. The course also aims to train the student in the use of the most appropriate numerical tools for the engineering analysis of environmental fluid dynamics problems. An integral part of the course are a series of exercises with calculation codes made available by the teacher.
SPECIFIC OBJECTIVES
1. Know and understand the approaches used in the numerical analysis of fluid dynamics problems applied to the environmental context
2. Knowing how to use the models learned in solving real case studies
3. Knowing how to choose the numerical or most appropriate approach in solving problems related to environmental fluid dynamics phenomena
4. Knowing how to present and defend their knowledge and skills acquired during an oral interview
5. Knowing how to write a technical report on the results of fluid dynamics simulations
6. Ability to autonomously continue acquiring new knowledge in specialized fields of computational fluid dynamics
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