Data science mathematics 4 (3cr)
Code: TT00CC20-3007
General information
- Enrollment
- 30.12.2025 - 26.01.2026
- Registration for the implementation has begun.
- Timing
- 01.01.2026 - 31.07.2026
- Implementation is running.
- Number of ECTS credits allocated
- 3 cr
- 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 13.01.2026 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3007 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
|
Tue 20.01.2026 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3007 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
|
Tue 27.01.2026 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3007 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
|
Tue 03.02.2026 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3007 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
|
Tue 10.02.2026 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3007 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
|
Tue 24.02.2026 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3007 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
|
Tue 10.03.2026 time 17:00 - 20:00 (3 h 0 min) |
Tentti_Datatieteen matematiikka 4 TT00CC20-3007 |
Valkea talo Iso Luokka B2.206
Valkea talo Iso Luokka B2.206
|
Evaluation scale
0 - 5
Objective
The student masters the most important numerical methods, e.g. in solving, interpolating and integrating equations
The student masters the basics of differential equations, knows how to form and solve simple equations related to practical problems, and knows how to use the most important numerical methods for solving differential equations.
Execution methods
Lectures and exercises
Accomplishment methods
Exam and/or practice work
Content
- numerical methods
- differential equations
Qualifications
Data science mathematics 1, 2 and 3