Academic Year 2019/2020
- Docente: Stefano Mattoccia
- Credits: 8
- SSD: ING-INF/05
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Computer Engineering (cod. 0937)
Learning outcomes
Introduction to design methodologies for embedded systems with particular emphasis on computer vision applications and deep-learning
Course contents
Ability to design methodologies for embedded systems with particular emphasis on computer vision applications and deep-learning.
Readings/Bibliography
Slides and source code available on the corse website
Teaching methods
The course deals with topics concerned to design of embedded systems. Each of these topics will be presented during the course with specific seminar and followed by practical experiments with development platforms (made available to each student/team). Each team (2 students) will select one topic, according to the specific interest in this field, and will solve a problem deploying an evaluation board.
Assessment methods
The assessment method consists in the evaluation of project, selected with the students (max 2 for each team) according to their interest in this field, and its mapping into an evaluation board.
Teaching tools
Embedded platform and software design frameworks.
Links to further information
http://vision.deis.unibo.it/~smatt/Site/Courses.html
Office hours
See the website of Stefano Mattoccia
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.