Credits: 5

Schedule: 16.01.2019 - 09.04.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

III-IV Spring (2018-2019, 2019-2020)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The students learn 
1. the basic notions and classes of dynamic optimization problems, 
2. to build and solve dynamic optimization models.

Content (valid 01.08.2018-31.07.2020): 

Optimization methods for dynamic systems: dynamic programming, calculus of variations, maximum principle, numerical solution methods. Application examples on engineering, economics and biology.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Exam. Bonus points from home work and exercise sessions

Workload (valid 01.08.2018-31.07.2020): 

Contact hours 48 h. Attendance is not compulsory.
Voluntary home exercises 15h 
Autonomous studies 65h

Study Material (valid 01.08.2018-31.07.2020): 

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; lecture notes

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Mat-2.3148 Dynamic optimization

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

MS-A00XX Matrix Algebra, MS-A01XX Differential and integral calculus 1, and MS-A01XX Differential and integral calculus 2.

Grading Scale (valid 01.08.2018-31.07.2020): 



Registration and further information