Data science mathematics 3 (3 cr)
Code: TT00CC19-3005
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
- English
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Tommi Kauppinen
Groups
-
TTM23SAITTM23SAI
- 24.10.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
- 31.10.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
- 07.11.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
- 14.11.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
- 21.11.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
- 28.11.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
- 05.12.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
- 12.12.2024 17:00 - 20:00, Hybridiopetus_Data science mathematics 3 TT00CC19-3005
Objective
The student masters the concept of integral and is able to apply it e.g. for distributions of random variables
The student masters the basic concepts of functions of several variables, such as partial derivative and gradient, and is able to apply them in optimization problems, for example.
Content
- the integral and its applications
- functions of several variables
- optimization
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1 and 2