Data science mathematics 1 (3 cr)
Code: TT00CC17-3006
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 |
---|---|---|
Tue 07.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi-opetus_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Tue 14.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Tue 21.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Tue 28.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Tue 04.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Tue 11.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Tue 18.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Tue 25.02.2025 time 17:00 - 20:00 (3 h 0 min) |
Hybridi_Datatieteen matematiikka 1 TT00CC17-3006 |
Keilaranta 14, Espoo
Keilaranta 14, Espoo
|
Changes to reservations may be possible.
Objective
The student masters the basic concepts of probability calculation and knows how to apply them to practical problems.
The student masters the basic concepts and methods of statistics and is able to apply them in data analysis.
Content
- basics of probability calculation
- random variables
- Bayesian networks
- basics of statistics
Evaluation scale
0 - 5