Basic methods for solving optimisation problems in insurance and finance will be described
elements of stochastic analysis as e.g. Ito Integral and Ito's formula, dynamic programming principle, Hamilton-Jacobi-Bellman equation, singular control theory, examples from actuarial and financial mathematics as e.g. optimal investment problems, minimizing ruin probabilities, etc.