|MODULBEAUFTRAGTE:R:||Prof. Dr. Laurenz Wiskott|
|FAKULTÄT:||Fakultät für Informatik|
|ANGEBOTEN IM:||jedes Sommersemester|
|FORM:||The course is concluded with a digital written exam.|
This course is given with the flipped/inverted classroom concept. First, the students work
through online material by themselves. In the lecture time slot we then discuss the material,
find connections to other topics, ask questions and try to answer them. In the tutorial time
slot the newly acquired knowledge is applied to analytical exercises and thereby deepened. I
encourage all students to work in teams during self-study time as well as in the tutorial.
LERNZIELEAfter the successful completion of this course the students
∙ know the material covered in this course, see Content,
∙ do have an intuitive understanding of the basic concepts and can work with that,
∙ can communicate about all this in English.
INHALTThis course covers mathematical methods that are relevant for modeling and data analysis.
Particular emphasis is put on an intuitive understanding as is required for a creative command
of mathematics. The following topics are covered:
∙ Functions and how to visualize them
∙ Vector spaces
∙ Matrices as transformations
∙ Systems of linear differential equations
∙ Qualitative analysis of nonlinear differential equations
∙ Bayesian theory
∙ Markov chains
VORAUSSETZUNGEN CREDITSBestandene Modulabschlussprüfung