Data science mathematics 2Laajuus (3 cr)
Code: TT00CC18
Credits
3 op
Teaching language
- Finnish
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
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
- Finnish
Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Teachers
- Tommi Kauppinen
Groups
-
TTM24SAITTM24SAI
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
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
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
Enrollment
01.08.2023 - 30.09.2023
Timing
01.08.2023 - 29.10.2023
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
- Ari Teirilä
Groups
-
TTV22SAITTV22SAI
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
Enrollment
01.08.2023 - 30.09.2023
Timing
01.08.2023 - 29.10.2023
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
-
TTM22SAITTM22SAI
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
Enrollment
01.08.2022 - 30.09.2022
Timing
01.08.2022 - 30.10.2022
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
- Ari Teirilä
Groups
-
TTV21SAITTV21SAI
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