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.

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 Bioinformatica - Enrollment from 2025/2026
Le attività formative in ambito D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.

 
Academic year:
I semestre From 10/1/20 To 1/29/21
years Modules TAF Teacher
Matlab-Simulink programming D Bogdan Mihai Maris (Coordinator)
II semestre From 3/1/21 To 6/11/21
years Modules TAF Teacher
Introduction to 3D printing D Franco Fummi (Coordinator)
Python programming language D Vittoria Cozza (Coordinator)
HW components design on FPGA D Franco Fummi (Coordinator)
Rapid prototyping on Arduino D Franco Fummi (Coordinator)
Protection of intangible assets (SW and invention)between industrial law and copyright D Roberto Giacobazzi (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: mathematics D Rossana Capuani
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinator)
LaTeX Language D Enrico Gregorio (Coordinator)

Teaching code

4S007126

Credits

2

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

I semestre dal Oct 1, 2020 al Jan 29, 2021.

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, toolboxes and 'Apps' environment. Convolutional Neural Networks in Matlab.

Program

1. Vectors and Matrices in MATLAB
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. 'Apps' environment. Convolutional Neural Networks for image classification.
Schedule:
14 April 2021 1:40-4:10 PM
20 April 2021 1:40-4:10 PM
27 April 2021 1:40-4:10 PM
5 May 2021 1:40-4:10 PM
12 May 2021 1:40-4:10 PM
19 May 2021 1:40-4:10 PM
26 May 2021 1:40-4:10 PM
2 June 2021 1:40-4:10 PM

Reference texts
Author Title Publishing house Year ISBN Notes
Dalle lezioni Appunti dalle lezioni 2021
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 quiz.
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