Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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.
The students learn
1. the basic notions and classes of dynamic optimization problems,
2. to build and solve dynamic optimization models.
Schedule: 13.01.2021 - 25.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Harri Ehtamo
Teacher in charge (applies in this implementation): Harri Ehtamo
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
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
Exam. Bonus points from home work and exercise sessions
Contact hours 48 h. Attendance is not compulsory.
Voluntary home exercises 15h
Autonomous studies 65h
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
Mat-2.3148 Dynamic optimization
MS-A00XX Matrix Algebra, MS-A01XX Differential and integral calculus 1, and MS-A01XX Differential and integral calculus 2.
- Teacher: Harri Ehtamo