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Statistical Mathematics and Optimisation (5 cr)

Code: BIY6032-3002

General information


Enrollment

01.04.2023 - 15.04.2023

Timing

28.08.2023 - 15.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages

  • Finnish

Seats

20 - 50

Degree programmes

  • Degree Programme in Energy and Environmental Engineering

Teachers

  • Jani Kangas

Teacher in charge

Jani Kangas

Groups

  • IENS21
    Engineer, Energy and Environmental Engineering, Full-Time Studies, Fall, 2021

Objective

Statistical Methods:

You can calculate basic statistics with computer. You learn how to make a regression model with two variables and find out whether there is any connection between these variables. In estimation theory you'll make confidence intervals and we'll show sampling theory by taking various size samples with computer. In testing theory you learn parametric tests like Student's t-tests and classical analysis of variance.

Optimization:

You know basic concepts and meaning of geometrical solution. With optimization program you'll find out optimal point for different kind of problems.

Content

Statistical Methods:
- Descriptive Statistics
- Correlation and Regression
- Confidence Intervals
- Parametric Tests

Optimization:
- Graphical Solution
- Simplex -algorithm
- LINDO -program
- Dual Solution
- Transport problems

Evaluation scale

H-5