Statistical Mathematics and OptimisationLaajuus (5 cr)
Code: BIY6032
Credits
5 op
Teaching language
- Finnish
Responsible person
- Jani Kangas
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
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
-
IENS21Engineer, 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
Enrollment
01.04.2022 - 30.04.2022
Timing
29.08.2022 - 16.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
- Finnish
Seats
10 - 50
Degree programmes
- Degree Programme in Energy and Environmental Engineering
Teachers
- Jani Kangas
Teacher in charge
Jani Kangas
Groups
-
BIYNS20Engineer, Energy and Environmental Engineering, Full-Time Studies, Fall, 2020
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