Data science mathematics 4 (3 cr)
Code: TT00CC20-3006
General information
- Enrollment
-
30.12.2024 - 26.01.2025
Registration for the implementation has ended.
- Timing
-
01.01.2025 - 31.07.2025
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 8 reservations. Total duration of reservations is 24 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 09.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Thu 16.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Thu 23.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Thu 30.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Thu 06.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Thu 13.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Thu 20.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
|
Thu 27.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 4 TT00CC20-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Changes to reservations may be possible.
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.
Content
- numerical methods
- differential equations
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1, 2 and 3