Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Type D and Type F activities

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Informatica - Enrollment from 2025/2026
Academic year:
1° periodo di lezioni From 9/30/19 To 12/14/19
years Modules TAF Teacher
3° The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinator)
I semestre From 10/1/19 To 1/31/20
years Modules TAF Teacher
3° Control theory D Riccardo Muradore (Coordinator)
3° Biomedical Data and Signal Processing D Silvia Francesca Storti (Coordinator)
3° Python programming language D Maurizio Boscaini (Coordinator)
II semestre From 3/2/20 To 6/12/20
years Modules TAF Teacher
3° CyberPhysical Laboratory D Andrea Calanca (Coordinator)
3° C++ Programming Language D Federico Busato (Coordinator)
3° LaTeX Language D Enrico Gregorio (Coordinator)
3° Matlab-Simulink programming D Bogdan Mihai Maris (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
3° Corso Europrogettazione D Not yet assigned
3° The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. D Matteo Cristani

Matlab-Simulink programming  (2019/2020)

Teaching code

4S007126

Teacher

Bogdan Mihai Maris

Coordinator

Bogdan Mihai Maris

Credits

2

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

II semestre dal Mar 2, 2020 al Jun 12, 2020.

Lessons timetable MoodleMoodle Seminars 0

Learning outcomes

Acquisition of adequate skills for programming in the MATLAB environment.
Use of specific tools for solving some problems of the 'Systems' course: block diagrams, transfer functions, Bode plots, Laplace transform.
Create and edit models in Simulink and simulate dynamic systems. Configure solver options to improve simulation accuracy and speed.
Various functions and toolboxes.

Program

1. Introduction to MATLAB: Vectors and Matrices
2. MATLAB Programming
3. Loop Statements and Vectorizing Code
4. More Advanced MATLAB Programs
5. String Manipulation
6. Data Structures: Cell Arrays and Structures
7. Introduction to image processing
8. Dynamic systems with Simulink
9. Symbolic Math Toolbox
10. GUI and App.s with Matlab

Schedule:
- 01/04/2020, 13:40-16:10
- 08/04/2020, 13:40-16:10
- 15/04/2020, 13:40-16:10
- 22/04/2020, 13:40-16:10
- 29/04/2020, 13:40-16:10
- 06/05/2020, 13:40-16:10
- 13/05/2020, 13:40-16:10
- 20/05/2020, 13:40-16:10
- 27/05/2020, 13:40-16:10
Room Delta - Borgo Roma - Ca' Vignal 3 - Pyramid

Reference texts
Author Title Publishing house Year ISBN Notes
Stormy Attaway Matlab: A Practical Introduction to Programming and Problem Solving (Edizione 3) Elsevier 2013 978-0-12-405876-7

Examination Methods

The final exam consists of a written test containing questions.
The students may ask for a small project that substitutes the written exam.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE