**Language:** This course is given in English.

**Goal:** The students should get a good intuition for the mathematics covered in this
course.

**Content:** This course covers mathematical methods that are relevant for modeling and
data analysis. Particular emphasis will be put on an intuitive understanding as is required for
a creative command of mathematics. The following topics will be covered: Functions, vector
spaces, matrices as transformations, systems of linear differential equations, and qualitative
analysis of nonlinear differential equations, possibly also Bayesian theory and multiple
integrals.

**Format:** There is a lecture, which provides the content, and a tutorial,
where you solve exercises and can deepen your understanding of the content. The
exercises are solved in the tutorial in a group effort, not at home. The students
therefore have the opportunity to meet already at 9:00 to work on the exercises on
their own.

**Requirements:** Basic knowledge of calculus and linear algebra.

**Exam:** This course will be concluded with an oral exam.

- Kursleiter/in: Laurenz Wiskott