Study Guide

Objective

- The student knows basic probability theory and can use different statistical distributions to solve problems
- The student can statistically analyze and present a data material in a relevant way
- The student can apply regression models to different data sets

Content

Statistics
- descriptive statistics
- probability theory
- discrete and continuous distributions
- Excel as a tool for analyzing data

Curve fitting and regression
- matrix calculus and linear algebra
- linear regression - least squares method
- linearization
- mathematical software (Excel, Mathcad or other program) to build regression models

Qualifications

Functions an equations 1,
Geometry and equations,
Functions an equations 2
Derivator and integrals

Assessment criteria, satisfactory (1)

Statistics and computational skills: Know the basics of statistics and can perform simple calculations
Curve fitting and regression: Know the basics of regression analysis
Mathematics software: Can use a software to solve basic problems

Assessment criteria, good (3)

Statistics and calculation skills: Is familiar with statistics and can perform relevant calculations
Curve fitting and regression: Is familiar with the concept of regression and can perform curve fitting of technical models
Mathematics software: Can use a software to solve applied problems

Assessment criteria, excellent (5)

Statistics and computational skills: Is well versed in statistics and can perform more advanced statistical calculations.
Curve fitting and regression: Can independently perform curve fitting and regression models in advanced technical problems
Mathematics software: Can use a software to solve advanced problems in mechanical engineering

Materials

- Booklet containing theory and exercises
- Relevant textbooks are recommended at the start of the course