TAIU07 · 4 credits · Basic level (G1N) · Matematik, Tillämpad matematik

Computations with MATLAB

Active · next start VT 2027

78%

passed the latest regular sitting

DAT1 · 24 Mar 2026 · 54 students

86%

passed the regular sittings, all sittings over the last 5 years

DAT1 · 264 students

42%

Harder than 42% of courses at basic level

Compared with 874 courses at the same level, ordinary exams over the last three academic years. 107 students.

Part of 1 programme

Bachelor of Science in Mechanical Engineeringsemester 2 · period 1 · compulsory

Other module

DAT1 Written examination

Main rounds

86% passed · 264 students

24 Mar 202678%54

25 Mar 202587%53
20 Mar 202489%65
22 Mar 202386%57
22 Mar 202291%35

Later rounds

87% passed · 39 students

11 Jun 202686%14
12 Jun 2025100%7
7 Jun 2024100%6
9 Jun 202383%6
10 Jun 202267%6

Pass a later round: 87% (39 students), compared with 86% (264 students) on the ordinary exam
Get 4 or 5: 67% (303 students)

Show small sittings (4)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

20 Aug 2026100%4
21 Aug 2025100%2
17 Aug 202333%3
18 Aug 202250%4

Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

UPG1 Hand-in assignments

Main rounds

100% passed · 239 students

30 Mar 2026100%59
2 Apr 2025100%55
28 Mar 2024100%40
31 Mar 2023100%52
29 Mar 2022100%33

Later rounds

100% passed · 5 students

18 Apr 2024100%5

Pass a later round: 100% (5 students), compared with 100% (239 students) on the ordinary exam

Show small sittings (18)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

24 Jun 2026100%1
10 Apr 2025100%4
11 Nov 2024100%1
17 Jun 2024100%2
12 Jun 2024100%2
27 May 2024100%4
21 May 2024100%3
15 May 2024100%2
4 Apr 2024100%2
30 May 2023100%4
5 Apr 2023100%2
9 Jun 2022100%2
18 May 2022100%2
3 May 2022100%1
25 Apr 2022100%2
19 Apr 2022100%2
31 Mar 2022100%2
8 Mar 2022100%1

About the course

Aim

After the course the student should be able to:

M1: Apply basic knowledge from the field of scientific computing, e.g., linear algebra

M2: Use built in MATLAB commands for mathematical computations and visualising computed result

M3: Divide complex computational problems into subproblems, and formulate and implement computer algorithms for solving these problems

M4: Implement and debug code individually or in a collaborative environment.

Content

The basics MATLABs interface, variables, matrices, assignment, indexing with scalars and vectors, colon notation, static and dynamic memory allocation, basic arithmetics, elementwise operations and matrix operations, comformality, transpose, solving linear systems of equations
Visualisation and data processing Visualising curves, surfaces and time dependent objects, printing and exporting graphics, commands for generating vectors and matrices, mathematical constants and functions, curve fitting, complex numbers, random numbers
Algorithms and programming Dividing computational problems into subproblems, formulating algorithms, iteration and selection, programming in MATLAB, relational operators, boolean algebra, input and output, commenting programming code

Examiner: Jan Glaubitz
Scheduled hours: 40 h
Main field of study: Matematik, Tillämpad matematik

Syllabus on Studieinfo ↗