Data science mathematics 3Laajuus (3 cr)
Code: TT00CC19
Credits
3 op
Teaching language
- Finnish
- English
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
Enrollment
02.07.2025 - 31.07.2025
Timing
01.08.2025 - 31.12.2025
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
-
TTM24SAITTM24SAI
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
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
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
Enrollment
01.08.2023 - 29.10.2023
Timing
30.10.2023 - 31.12.2023
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
- Ari Teirilä
Groups
-
TTV22SAITTV22SAI
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
Enrollment
01.08.2023 - 29.10.2023
Timing
30.10.2023 - 31.12.2023
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
-
TTM22SAITTM22SAI
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
Enrollment
01.08.2022 - 30.09.2022
Timing
31.10.2022 - 31.12.2022
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
- Ari Teirilä
Groups
-
TTV21SAITTV21SAI
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