EC ENGR 241A

Stochastic Processes

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

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Review of basic probability, axiomatic development, expectation, convergence of random processes: stationarity, power spectral density. Response of linear systems to random inputs. Basics of estimation.

Special random processes, Markov processes, martingales, etc. 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
Requisite: course 131A.

BruinTree reads · Prerequisite

confidence 1.00 · from text

EC ENGR 131A

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

EC ENGR 241A

EC ENGR 131AProbability and Statistics
- MATH 32BCalculus of Several Variables
  - MATH 31BIntegration and Infinite Series1 more beneath
  - MATH 32ACalculus of Several Variables1 more beneath
- MATH 33BDifferential Equations
  - MATH 31BIntegration and Infinite Seriesanother path to it

1 direct requisite. Showing 6 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

EC ENGR 241A

EC ENGR 210AAdaptation and Learning
- EC ENGR 210BInference over Networks

1 course lists this as a requisite. The whole downstream is here — 2 courses over 2 levels. Every course here opens its own tree.