LEARNING OUTCOMES
The students learn
1. the basic notions and classes of dynamic optimization problems,
2. to build and solve dynamic optimization models.
Credits: 5
Schedule: 08.01.2025 - 20.02.2025
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Jonas Tölle
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:
Optimization methods for dynamic systems: dynamic programming, calculus of variations, maximum principle, numerical solution methods, stochastic dynamic optimization. Application examples on engineering, economics and biology.
Assessment Methods and Criteria
valid for whole curriculum period:
Exam. Bonus points from home work and exercise sessions
Workload
valid for whole curriculum period:
Contact hours 48 h. Attendance is not compulsory.
Voluntary home exercises 15h
Autonomous studies 65h
DETAILS
Study Material
valid for whole curriculum period:
D.E. Kirk: Optimal Control Theory; M.I. Kamien, N.L. Schwarz: Dynamic Optimization - the Calculus of Variations and Optimal Control in Economics and Management; D.P. Bertsekas: Dynamic Programming and Optimal Control, vols I and II; A.C. Chiang: Elements of Dynamic Optimization; lecture notes
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Spring III
2025-2026 Spring III