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Statistical Mathematics and Optimisation (5 cr)

Code: BIY6032-BIA21L1

General information


Enrollment
01.04.2021 - 30.04.2021
Registration for the implementation has ended.
Timing
01.09.2021 - 18.12.2021
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
4 cr
Virtual portion
1 cr
Mode of delivery
Blended learning
Unit
Insinöörikoulutus / Energia- ja ympäristötekniikka (IE)
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
Finnish
Seats
10 - 40
Degree programmes
Degree Programme in Energy and Environmental Engineering
Teachers
Jani Kangas
Teacher in charge
Jani Kangas
Groups
BIYNS19
Engineer, Energy and Environmental Engineering, Full-Time Studies, Fall, 2019
Course
BIY6032

Evaluation scale

H-5

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

Student workload

Luennot 60 h, harjoitustehtävät 50 h ja itsenäinen opiskelu 25 h.

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