Data science mathematics 3 (3 cr)
Code: TT00CC19-3003
General information
- Enrollment
-
01.08.2023 - 29.10.2023
Registration for the implementation has ended.
- Timing
-
30.10.2023 - 31.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- English
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
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
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.
Execution methods
Lectures and exercises
Accomplishment methods
Exam
Content
- the integral and its applications
- functions of several variables
- optimization
Qualifications
Data science mathematics 1 and 2