Fundamentals of probability theory and statistics for students of computer science

The main aim of the lecture is to introduce students to probability theory in addition to the basic methods of descriptive statistics. This is a sub-discipline of mathematics. It operates with events, probabilities, random variables (and much more) and provides, among other things, mathematical models for randomly influenced processes in the world of experience, which are also of great interest in their own right. Probability theory therefore forms the focus of the lecture.

The task of descriptive statistics is to describe, organize and summarize the data obtained from experiments. The data is prepared and clearly presented using graphs and statistical measures (arithmetic mean, median, empirical variance, etc.). At the end of the lecture, we briefly discuss inferential statistics. It deals with the question of the extent to which specific experimental results have more general validity, i.e. with the inference from the data to the population.

The probability theory and statistics course for computer science students takes place annually in the winter semester. All further information and materials for the respective course can be found on the course homepage in the current course catalog.

The exams from previous years can be found in the exam archive.