Data science mathematics 2 (3 cr)
Code: TT00CC18-3006
General information
- Enrollment
-
02.07.2025 - 31.07.2025
Registration for introductions has not started yet.
- Timing
-
01.08.2025 - 31.12.2025
The implementation has not yet started.
- 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
Realization has 7 reservations. Total duration of reservations is 21 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 26.08.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 02.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 09.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 16.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 23.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 30.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 07.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Changes to reservations may be possible.
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