Data science mathematics 3 (3 cr)
Code: TT00CC19-3006
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
- English
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Realization has 8 reservations. Total duration of reservations is 24 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 21.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 28.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 04.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 11.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 18.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 25.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 02.12.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Tue 09.12.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 3, hybridi |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Changes to reservations may be possible.
Objective
The student masters the concept of integral and is able to apply it e.g. for distributions of random variables
The student masters the basic concepts of functions of several variables, such as partial derivative and gradient, and is able to apply them in optimization problems, for example.
Content
- the integral and its applications
- functions of several variables
- optimization
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1 and 2