Data science mathematics 2 (3 cr)
Code: TT00CC18-3006
General information
- Enrollment
-
18.08.2025 - 21.09.2025
Registration for introductions has not started yet.
- Timing
-
01.08.2025 - 31.12.2025
Implementation is running.
- 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 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Tue 02.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Tue 09.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Tue 16.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Tue 23.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Tue 30.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Tue 07.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Datatieteen matematiikka 2, hybridi |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Changes to reservations may be possible.
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