TNG016 · 6 credits · Advanced level (A1N) · Elektroteknik
Engineering Applications Using Matlab
Active · next start VT 2027
100%
passed the latest regular sitting
PRA3 · 1 Jun 2026 · 22 students
100%
passed the regular sittings, all sittings over the last 5 years
PRA3 · 64 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 2 programmes
Hand-in or lab
PRA3 Project work with written report and oral presentation
- 5
- 4
- 3
Main rounds
100% passed · 64 students
- 100%22
- 100%23
- 100%19
Later rounds
100% passed · 8 students
- 100%8
- Pass a later round: 100% (8 students), compared with 100% (64 students) on the ordinary exam
- Get 4 or 5: 100% (72 students)
Show small sittings (7)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%2
- 100%1
- 100%1
- 100%1
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG4 Laboratory work
- G
Main rounds
100% passed · 43 students
- 100%22
- 100%21
Later rounds
100% passed · 30 students
- 100%20
- 100%10
- Pass a later round: 100% (30 students), compared with 100% (43 students) on the ordinary exam
Show small sittings (8)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
About the course
Aim
The course aims to provide students with a broad and deep understanding of how the MATLAB tool is used in various application areas. After completing the course, the student should be able to:
Laboratories:
- Apply the MATLAB tool in various systems engineering areas
- Solve technical problems with MATLAB
- Explain code implementation and discuss results
Individual Project:
- apply MATLAB in an area relevant to the student's program and write technical documentation of the work
Content
Areas that will be studied in the course are:
- Fundamentals of MATLAB, Simulink and programming techniques
- Data processing and Visualization
- Machine learning and deep learning
- Building interactive applications
- Areas that are relevant to the student’s program such as signal processing and communications or optimization
- Examiner
- Anna Lombardi
- Scheduled hours
- 20 h
- Main field of study
- Elektroteknik