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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
Teachers
Hoa Ngo
Groups
TTM24SAI
TTM24SAI
Course
TT00CC18

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

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