- Docente: Davide Fabiani
- Credits: 3
- SSD: ING-IND/31
- Language: Italian
- Moduli: Davide Fabiani (Modulo 1) Andrea Cristofolini (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Electrical Energy Engineering (cod. 9255)
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from Sep 19, 2022 to Oct 24, 2022
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from Nov 07, 2022 to Dec 19, 2022
Learning outcomes
At the end of the course the student is able to analyze problems in the field of electrical engineering through simulation and programming in MATLAB environment.
Course contents
1. Knowledge of the environment and programming language of MATLAB software.
2. Use of MATLAB software for practical applications (examples of applications on statistics, linear algebra, Fourier decomposition, polynomial fitting and Spline, digital filters).
3. Use of MATLAB for the solution of engineering problems (circuit solution, integration and numerical derivation).
4. Use of FEM software for the analysis of stationary electrostatic and magnetic problems.
Readings/Bibliography
Notes provided by the teachers and / or texts available free on the Internet.
Teaching methods
The course follows the "hands on" philosophy: the necessary notions are presented at the beginning or during the lesson, the student immediately puts them into practice trying to solve problems proposed by the teacher.
Assessment methods
The assessment will take place, at the student's choice, through the realization of a group project work assigned at the end of the course or, alternatively, of a practical exam in the laboratory, both aimed at verifying that the student has assimilated the main functionalities of MATLAB.
The assigned project will consist in the development of an algorithm in Matlab (including script and functions) to respond to specific requests in the project. Each group has to produce a short report that will be presented during an interview with the teacher. Each project will be assigned a score out of thirty.
In the practical laboratory test, on the other hand, he will be asked to solve a problem proposed by the teacher using MATLAB. At the end of the test, the student will receive a score out of thirty.
Teaching tools
The course will be held mainly in the teaching laboratory of DEI, where calculation resources are available for simulation and programming in MATLAB environment. The student will also be able to download a Campus license of Matlab on his/her laptop to practice at home.
Office hours
See the website of Davide Fabiani
See the website of Andrea Cristofolini
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.