Next semester we will again offer the advanced lecture Probabilistic Models and Data Analysis.
The aim of this course is to give students of bioinformatics and computer science a solid background in probability and statistics as well as detailed knowledge about computer simulation of stochastic models, parameter estimation and hypothesis testing. Students will also learn how to use software tools such as R and Matlab to analyze data and probabilistic models. This course is a flipped classroom course, which means that the two lecture/tutorial slots will be used for exercises/examples/questions and discussion of the material and participants have to prepare for these slots by either watching videos or reading the lecture notes.
More information can be found on the lecture page.