Data science mathematics 4 (3 cr)
Code: TT00CC20-3007
General information
- Enrollment
-
02.12.2025 - 31.12.2025
Registration for introductions has not started yet.
- Timing
-
01.01.2026 - 31.07.2026
The implementation has not yet started.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Blended learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
No reservations found for realization TT00CC20-3007!
Evaluation scale
0 - 5
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