Data science mathematics 2 (3 cr)
Code: TT00CC18-3005
General information
Enrollment
19.08.2024 - 22.09.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Tommi Kauppinen
Groups
-
TTM23SAITTM23SAI
- 29.08.2024 17:00 - 20:00, Datatieteen matematiikka 2 TT00CC18-3005
- 05.09.2024 17:00 - 20:00, Datatieteen matematiikka 2 TT00CC18-3005
- 12.09.2024 17:00 - 20:00, Datatieteen matematiikka 2 TT00CC18-3005
- 19.09.2024 17:00 - 20:00, Datatieteen matematiikka 2 TT00CC18-3005
- 26.09.2024 17:00 - 20:00, Datatieteen matematiikka 2 TT00CC18-3005
- 03.10.2024 17:00 - 20:00, Datatieteen matematiikka 2 TT00CC18-3005
- 10.10.2024 17:00 - 20:00, Datatieteen matematiikka 2 TT00CC18-3005
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
Content
- vectors and matrices with applications
- derivative and its applications
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1