EC ENGR M237 · EE M237Dynamic Programming
Electrical and Computer Engineering · 4 units · Graduate courses (200-299)
(Same as Mechanical and Aerospace Engineering M276.) 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.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Recommended requisite: course 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.
EC ENGR M237
- EC ENGR 232AStochastic Modeling with Applications to Telecommunication Systems
- EC ENGR 131AProbability and Statistics
- EC ENGR 236ALinear Programming
- MATH 115ALinear Algebra
- EC ENGR 236BConvex Optimization
3 direct requisites. Showing 9 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
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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.