Syllabus

LEARNING OUTCOMES

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

CONTENT, ASSESSMENT AND WORKLOAD

Content

• 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

DETAILS

Study Material

• valid for whole curriculum period:

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

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

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

Description