TSRT04 · 2 credits · Basic level (G1F) · Inget huvudområde
Introduction in Matlab
Active · next start VT 2027
100%
passed the latest regular sitting
LAB1 · 27 Mar 2026 · 79 students
100%
passed the regular sittings, all sittings over the last 5 years
LAB1 · 561 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 7 programmes
- Master of Science in Biomedical Engineering
- Master of Science in Design and Product Development
- Master of Science in Energy - Environment - Management
- Master of Science in Industrial Engineering and Management
- Master of Science in Mechanical Engineering
- Bachelor of Science in Computer Engineering
- Bachelor of Science in Chemical Analysis Engineering
Hand-in or lab
LAB1 Computer exercise
- G
Main rounds
100% passed · 561 students
- 100%79
- 100%55
- 100%70
- 100%104
- 100%58
- 100%107
- 100%88
Later rounds
100% passed · 185 students
- 100%24
- 100%43
- 100%15
- 100%27
- 100%22
- 100%41
- 100%13
- Pass a later round: 100% (185 students), compared with 100% (561 students) on the ordinary exam
Show small sittings (16)
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%2
- 100%2
- 100%3
- 100%1
- 100%1
- 100%1
- 100%3
- 100%1
- 100%1
- 100%4
- 100%1
- 100%1
- 100%2
- 100%1
- 100%2
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LABA Computer exercise
- G
Main rounds
100% passed · 109 students
- 100%109
Later rounds
No sittings with at least 5 students.
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%3
- 100%2
- 100%1
- 100%2
- 100%2
About the course
Aim
After completing this course, the student is expected to be able to:
- visualise results of computations and data sets by self-explaining graphics.
- construct simple scripts and functions and use control structures (if-statements, for- and while-loops) to solve more advance project tasks.
Content
Interactive computations. Introduction to programming in MATLAB, using elementary methods. Advantages in documentation and comments to code. Plots and visualisation of computational results. Numerical calculations in linear algebra, (e.g. to solve linear equation systems). Solving basic engineering problems by dividing these into subproblems.
- Examiner
- Karl-Ludwig Besser
- Scheduled hours
- 16 h
- Main field of study
- Inget huvudområde