After successful completion of the course, students are able to
- compute probabilities of combined events and conditional probabilities,
- use important distribution functions for solving simple problems,
- estimate parameters (mean value, variance) of a population and their confidence intervals based on empirically collected sample data,
- apply hypothesis testing in order to correctly test claims regarding a characteristic of a population,
- use simple analysis of variance and linear regression to systematically process measured data and to see order in seeming chaos.
Explanation of basic concepts, derivation of basic equations, calculation of examples, discussion of case studies
The material is taught in the form of lectures in the lecture hall and in the lecture notes. As an additional offer, the lecture recordings recorded during the pandemic will be made available on the research department's YouTube channel (link can be found in TUWEL). Shortly before the tests, tutor consultation hours are offered in which solutions to examples from task collections are presented and discussed.
The first lecture will take place on March 6 at 12 noon in FH HS 1. Shortly before the lecture, a script sale (lecture notes & problem collection) will be offered in front of the lecture hall, details will follow in a mailing.
Accompanying online quizzes in TUWEL are used for self-assessment and also determine part of the final grade, therefore registration for the TUWEL course is absolutely necessary.
Proof of performance is provided in writing, whereby 2 practice tests (only exercise examples) and online quizzes offered continuously during the semester (in the TUWEL course, MC questions on theory) must be completed, see the course information sheet for details.
