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):
https://mycourses.aalto.fi/course/search.php?search=MS-E2148
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):
0-5