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
-
BIYNS19Engineer, 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.