Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


This course is intended to aid the student in developing comfort and familiarity with the level of mathematics used in economics research. The course focuses on specifically on a careful treatment of optimization, with a focus on dynamic optimization methods, as applied to economic models.cs, Mathematics for Economists

Credits: 6

Schedule: 28.02.2023 - 20.04.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Daniel Hauser

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    • Must know: KKT conditions, convex programming, the value function, the maximum principle, principle of optimality, value functions, bellman equations

    • Should know: Properties of metric spaces, optimization with uncertainty, continuous time optimization, numerical methods

    • Nice to know: properties of dynamical systems, phase diagrams, Markov decision problems, stochastic processes


Study Material
  • valid for whole curriculum period:

    Textbook: Avinash Dixit, “Optimization in Economic Theory: Second Edition,” Oxford University Press, 1990

Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring IV
    2023-2024 Spring IV