Numerical AnalysisLaajuus (4 cr)
Code: II10033
Credits
4 op
Objective
You will be able to use computers to solve mathematical problems. You will implement algorithms to produce approximated solutions to various problems.
Content
- Linear & nonlinear equations
- Linear Interpolation / Extrapolation
- Quadratic interpolation
- Newton’s method
- Monte Carlo approximations
- Derivatives / Integrals
- Series and sequences
- Fitting a line to the data
- Linear Regression
- Principal component analysis
Enrollment
01.10.2023 - 31.10.2023
Timing
08.01.2024 - 26.04.2024
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
Unit
Bachelor of Engineering, Industrial Management
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
- English
Seats
20 - 50
Degree programmes
- Degree Programme in Industrial Management
Teachers
- Radu Mariescu-Istodor
Teacher in charge
Radu Mariescu-Istodor
Groups
-
IINS22Bachelor of Engineering, Industrial Management, Full-time Studies, Fall, 2022
Objective
You will be able to use computers to solve mathematical problems. You will implement algorithms to produce approximated solutions to various problems.
Content
- Linear & nonlinear equations
- Linear Interpolation / Extrapolation
- Quadratic interpolation
- Newton’s method
- Monte Carlo approximations
- Derivatives / Integrals
- Series and sequences
- Fitting a line to the data
- Linear Regression
- Principal component analysis
Evaluation scale
H-5