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Data science mathematics 2 (3 cr)

Code: TT00CC18-3005

General information


Enrollment
19.08.2024 - 22.09.2024
Registration for the implementation has ended.
Timing
01.08.2024 - 31.12.2024
Implementation has ended.
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
Tommi Kauppinen
Groups
TTM23SAI
TTM23SAI
Course
TT00CC18

Realization has 7 reservations. Total duration of reservations is 21 h 0 min.

Time Topic Location
Thu 29.08.2024 time 17:00 - 20:00
(3 h 0 min)
Datatieteen matematiikka 2 TT00CC18-3005
Keilaranta 14, Espoo Keilaranta 14, Espoo
Thu 05.09.2024 time 17:00 - 20:00
(3 h 0 min)
Datatieteen matematiikka 2 TT00CC18-3005
Keilaranta 14, Espoo Keilaranta 14, Espoo
Thu 12.09.2024 time 17:00 - 20:00
(3 h 0 min)
Datatieteen matematiikka 2 TT00CC18-3005
Keilaranta 14, Espoo Keilaranta 14, Espoo
Thu 19.09.2024 time 17:00 - 20:00
(3 h 0 min)
Datatieteen matematiikka 2 TT00CC18-3005
Keilaranta 14, Espoo Keilaranta 14, Espoo
Thu 26.09.2024 time 17:00 - 20:00
(3 h 0 min)
Datatieteen matematiikka 2 TT00CC18-3005
Keilaranta 14, Espoo Keilaranta 14, Espoo
Thu 03.10.2024 time 17:00 - 20:00
(3 h 0 min)
Datatieteen matematiikka 2 TT00CC18-3005
Keilaranta 14, Espoo Keilaranta 14, Espoo
Thu 10.10.2024 time 17:00 - 20:00
(3 h 0 min)
Datatieteen matematiikka 2 TT00CC18-3005
Keilaranta 14, Espoo Keilaranta 14, Espoo
Changes to reservations may be possible.

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

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