Data science mathematics 2 (3 cr)
Code: TT00CC18-3003
General information
- Enrollment
-
01.08.2023 - 30.09.2023
Registration for the implementation has ended.
- Timing
-
01.08.2023 - 29.10.2023
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
No reservations found for realization TT00CC18-3003!
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
Content
- vectors and matrices with applications
- derivative and its applications
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1