Data science mathematics 2 (3 cr)
Code: TT00CC18-3007
General information
- Enrollment
-
02.07.2026 - 31.07.2026
Registration for introductions has not started yet.
- Timing
-
01.08.2026 - 31.12.2026
The implementation has not yet started.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Blended learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
No reservations found for realization TT00CC18-3007!
Evaluation scale
0 - 5
Objective
The student masters the basics of linear algebra (vectors and matrices) and is able to apply them in practice.
The student masters the concept of derivative and knows how to apply derivation, e.g. in extreme value problems
Execution methods
Lectures and exercises
Accomplishment methods
Tentti
Content
- vectors and matrices with applications
- derivative and its applications
Qualifications
Data science mathematics 1