After successful completion of the course, students are able to: 

• Use basic counting techniques (multiplication rule, combinations, permutations) to compute probability. 
• Compute conditional probabilities directly and using Bayes theorem, and check for independence of events.
• Work with discrete random variables. In particular, understand the Bernoulli, binomial, geometric, and Poisson distributions.
• Work with continuous random variables. In particular, know the properties of uniform, normal, and exponential distributions.
• Know what expectation and variance mean and compute them.
• Understand the law of large numbers and the central limit theorem.
• Compute and interpret descriptive statistics and plots.
• Compute confidence intervals for estimators.
• Carry out  and interpret hypothesis tests (t-tests, ANOVA, chi^2-test, Frequncies) as well as compute and interpret the p-value.
• Compute and interpret the correlation between two variables.
• Compute and interpret univariate linear regression models.
• Use the statistical software R to implement the statistical analysis methods covered in the course.

This course is an introductory statistics and probability theory course.

• Counting (permutations, combinations)
• Compute probabilities
• Random variables, distributions (Bernoulli, binomial, geometric, Poisson, uniform, normal and exponential distributions), quantiles, mean, variance, covariance, correlation, independence
• Conditional probability, Bayes' theorem
• Law of large numbers, Central limit theorem
• Sampling
• Descriptive Statistics (elementary statistics, frequency table, diagrams, empirical distribution, histograms)
• Significance tests and confidence intervals, analysis of variance, univariate linear regression

Lectures and accompanying exercises in the exercise sessions. In the lecture, central concepts will be presented, which will be then practiced and deepened in the exercise sessions on the basis of case studies. Exercises will involve solving problems and the use of R for computation, simulation, and visualization.

For students of Informatics. 

Requirements for participation:

1. Successful completion of STEOP.
2. Basic knowledge of linear Algebra and Calculus.

Please note that a detailed course description and plan as well as all announcements and material can be found in TUWEL.

Result of the final written exam. The exam is a multiple-choice exam. For each question, there are four possible answers and only one is correct. The one alternative that best completes the statement or answers the question should be chosen by ticking. Ticking more than one answer leads to the question being marked as incorrect. Students are given 90 minutes to solve the exam. You may use a non-programmable calculator and a single, hand-written sheet with the formulas you may need (written on one two-sided A4 format paper). Please note that a copy of a handwritten sheet is not a handwritten sheet and cannot be used in the exam. Computers, smartphones, tablets, notes, books, etc., as well as discussions and consultations with others, are not allowed during the exam. It is mandatory to bring a personal document/ID with picture. 

Literature will be discussed in the first lecture.

see above (requirements)