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Methods for Analysing Numerical DataLaajuus (5 cr)

Code: II6129

Credits

5 op

Teaching language

  • English

Responsible person

  • Radu Mariescu-Istodor

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

01.04.2022 - 30.11.2022

Timing

09.01.2023 - 28.04.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Bachelor of Engineering, Industrial Management

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages
  • English
Degree programmes
  • Degree Programme in Industrial Management
Teachers
  • Radu Mariescu-Istodor
Teacher in charge

Radu Mariescu-Istodor

Groups
  • IINS21
    Bachelor of Engineering, Industrial Management, Full-time Studies, Fall, 2021

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

Enrollment

01.10.2021 - 31.10.2021

Timing

28.02.2022 - 29.05.2022

Number of ECTS credits allocated

5 op

RDI portion

2 op

Mode of delivery

Contact teaching

Unit

Bachelor of Engineering, Industrial Management

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages
  • English
Seats

10 - 50

Degree programmes
  • Degree Programme in Industrial Management
Teachers
  • Radu Mariescu-Istodor
Teacher in charge

Hamid El Ouatki

Groups
  • IINS20
    Bachelor of Engineering, Industrial Management, Full-time Studies, Fall, 2020

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