Data science mathematics 4Laajuus (3 cr)
Code: TT00CC20
Credits
3 op
Teaching language
- Finnish
Objective
The student masters the most important numerical methods, e.g. in solving, interpolating and integrating equations
The student masters the basics of differential equations, knows how to form and solve simple equations related to practical problems, and knows how to use the most important numerical methods for solving differential equations.
Content
- numerical methods
- differential equations
Enrollment
30.12.2024 - 26.01.2025
Timing
01.01.2025 - 31.07.2025
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
-
TTM23SAITTM23SAI
Objective
The student masters the most important numerical methods, e.g. in solving, interpolating and integrating equations
The student masters the basics of differential equations, knows how to form and solve simple equations related to practical problems, and knows how to use the most important numerical methods for solving differential equations.
Content
- numerical methods
- differential equations
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1, 2 and 3
Enrollment
01.12.2023 - 31.01.2024
Timing
01.01.2024 - 31.07.2024
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
-
TTM22SAITTM22SAI
Objective
The student masters the most important numerical methods, e.g. in solving, interpolating and integrating equations
The student masters the basics of differential equations, knows how to form and solve simple equations related to practical problems, and knows how to use the most important numerical methods for solving differential equations.
Content
- numerical methods
- differential equations
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1, 2 and 3
Enrollment
01.12.2023 - 31.01.2024
Timing
01.01.2024 - 31.07.2024
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
- Ari Teirilä
Groups
-
TTV22SAITTV22SAI
Objective
The student masters the most important numerical methods, e.g. in solving, interpolating and integrating equations
The student masters the basics of differential equations, knows how to form and solve simple equations related to practical problems, and knows how to use the most important numerical methods for solving differential equations.
Content
- numerical methods
- differential equations
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1, 2 and 3
Enrollment
02.12.2022 - 31.01.2023
Timing
01.01.2023 - 19.03.2023
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
-
TTV21SAITTV21SAI
Objective
The student masters the most important numerical methods, e.g. in solving, interpolating and integrating equations
The student masters the basics of differential equations, knows how to form and solve simple equations related to practical problems, and knows how to use the most important numerical methods for solving differential equations.
Content
- numerical methods
- differential equations
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1, 2 and 3
Enrollment
01.12.2021 - 31.01.2022
Timing
01.01.2022 - 31.07.2022
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
-
TTV20SAITTV20SAI
Objective
The student masters the most important numerical methods, e.g. in solving, interpolating and integrating equations
The student masters the basics of differential equations, knows how to form and solve simple equations related to practical problems, and knows how to use the most important numerical methods for solving differential equations.
Content
- numerical methods
- differential equations
Evaluation scale
0 - 5
Prerequisites
Data science mathematics 1, 2 and 3