EC ENGR M237

Dynamic Programming

Electrical and Computer Engineering · 4 units · Graduate courses (200-299)

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(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.

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Requisites

Official UCLA wording
Recommended requisite: course 232A or 236A or 236B.

BruinTree reads · Recommended

confidence 1.00 · from text

one of

Requires

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
  - MATH 32BCalculus of Several Variables2 more beneath
  - MATH 33BDifferential Equations1 more beneath
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.