Mathematics 3 (5cr)

Objectives

The student
- has basic knowledge of mathematics related to data-analysis
- is able to construct graphical presentation for statistical data.
- is able to calculate basic statistical measures with computer.
- can interpret data using statistical measures and graphs.
- is able to use and apply classical data analysis for solving technical problems
- is familiar with basics of clustering and decision trees

Content

• Classical Data Analysis
• Decision Trees, Random Forests
• Clustering, K-means
• Non-linear Optimization
• Regression: Generalized Linear Regression, Classification, Logistic Regression
• Neural Network

Assessment criteria, satisfactory (1-2)

Understanding of basic concepts related to course topics. Can use classical data analysis and linear regression in technical problems. Capability to construct basic graphical presentations for statistical data and calculate basic statistical measures with computer. Capability to calculate exercises that are similar to discussed examples.

Assessment criteria, good (3-4)

In addition, understanding of advanced and most concepts related to course topics. Ability to apply them in basic technical problems.

Assessment criteria, excellent (5)

In addition, ability to apply course topics in advanced technical problems.