MECH&AE M276
Dynamic Programming
Mechanical and Aerospace Engineering · 4 units · Graduate courses (200-299)
(Same as Electrical and Computer Engineering M237.) Introduction to mathematical analysis of sequential decision processes. Finite horizon model in both deterministic and stochastic cases. Finite-state infinite horizon model. Methods of solution. Examples from inventory theory, finance, optimal control and estimation, Markov decision processes, combinatorial optimization, communications.
Letter grading.
Requisites
Official UCLA wording
Recommended requisite: Electrical and Computer Engineering 232A or 236A or 236B.
BruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
MECH&AE M276
- EC ENGR 232AStochastic Modeling with Applications to Telecommunication Systems
- EC ENGR 131AProbability and Statistics
- EC ENGR 236ALinear Programming
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.