Data science mathematics 4 (3 cr)
Code: TT00CC20-3002
General information
- Enrollment
-
02.12.2022 - 31.01.2023
Registration for the implementation has ended.
- Timing
-
01.01.2023 - 19.03.2023
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
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
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.
Execution methods
Lectures and exercises
Accomplishment methods
Exam and/or practice work
Content
- numerical methods
- differential equations
Qualifications
Data science mathematics 1, 2 and 3