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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
Teachers
Hoa Ngo
Groups
TTM24SAI
TTM24SAI
Course
TT00CC17

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

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