Knowledge of the theory of the topics named below, as far as they are relevant for the application oriented use in engineering sciences. Knowledge on mathematical methods of the topics named below to solve problems in engineering sciences. Routine will be gained by exercising on application oriented examples. Competence to autonomosly acquire advanced mathematical tools of engineering sciences. Self-contained acquiring of knowledge and self-organisation for solving tasks.

• Fundamentals of Chance
• Estimation of parameters, confidence intervals, and hypothesis tests
• Analysis of variance (ANOVA)
• Regression analysis

This course is graded via immanent examination. Three compulsory written tests constitute the final grading (proportions: 1st test 50%, 2nd test 50%).

Additional minimum requirement: Each of the two written test results must be a minimum of 25 % of the maximum test points in order to have an overall positive result! This rule also applies to the repetition test.

If the overall result of the two tests is negative (due to a missed or negative written test), that test with the smaller number of points can be repeated (repetition test) at the end of the term.

Complete lecture notes including examples, formulas and statistical tables are available for a service charge.

• Knowledge of theory in the topics of differential- and integral algebra in one variable
• Ability to solve applied problems in differential- and integral algebra in one variable
• Ability to solve problems in linear algebra
• Ability to autonomously organize the necessary learning conditions and to solve problems with the tools supplied in the course