We will not focus on proofs and derivations but on good intuition and practical working knowledge.

Tentative list of topics:

• analysis and calculus (limits, derivatives, integrals, differential equations)
• linear algebra (eigendecomposition, inverses, linear systems, polytopes)
• probabilities and statistics (distributions, covariance and correlation, Bayes' rule, hypothesis testing)
• optimization (optimality conditions, Lagrange multipliers, convexity, gradient descent, Newton method)

If you do not have any prior knowledge in Python or feel that your Python skills need a little refresh, the online self-study material of Prof. Bela Gipp's group might be interesting for you.

After you have registered here, you can access the course. Please note that a University of Göttingen account is required for registration.