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Course information comes from the public UCLA General Catalog. Requisites are read from UCLA’s published wording and can be incomplete or out of date — check the official catalog listing and your department adviser before you enroll.

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EC ENGR 131A · EE 131AProbability and Statistics

Electrical and Computer Engineering · 4 units · Undergraduate upper division (100-199)

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Introduction to basic concepts of probability, including random variables and vectors, distributions and densities, moments, characteristic functions, and limit theorems. Applications to communication, control, and signal processing. Introduction to computer simulation and generation of random events.

Letter grading.

When it runs

Checking the Schedule of Classes…

Requisites

Official UCLA wording

Requisites: Mathematics 32B, 33B.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data
all of
  • MATH 32B
  • MATH 33B

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Requires

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

EC ENGR 131A

  • MATH 32BCalculus of Several Variables
    • MATH 31BIntegration and Infinite Series
      • MATH 31ADifferential and Integral Calculus1 more beneath
    • MATH 32ACalculus of Several Variables
      • MATH 31ADifferential and Integral Calculusanother path to it
  • MATH 33BDifferential Equations
    • MATH 31BIntegration and Infinite Seriesanother path to it

2 direct requisites. Showing 7 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 131A22 more beyond

  • EC ENGR M119Fundamentals of Embedded Networked Systems
  • EC ENGR 132AIntroduction to Communication Systems
    • EC ENGR 230BDigital Communication Systems
  • C&S BIO M175Stochastic Processes in Biochemical Systems
  • EC ENGR 132BData Communications and Telecommunication Networks
    • EC ENGR M119Fundamentals of Embedded Networked Systemsanother path to it
    • COM SCI M119Fundamentals of Embedded Networked Systems
  • EC ENGR 133AApplied Numerical Computing
    • EC ENGR 133BSimulation, Optimization, and Data Analysis
    • EC ENGR C147ANeural Networks and Deep Learninganother path to it
    • EC ENGR C247ANeural Networks and Deep Learninganother path to it
  • CH ENGR M148Introduction to Data Science
  • EC ENGR C143ANeural Signal Processing
  • EC ENGR M146Introduction to Machine Learning
    • EC ENGR C147ANeural Networks and Deep Learninganother path to it
    • EC ENGR C247ANeural Networks and Deep Learning
      • EC ENGR C247BNeural Networks and Deep Learning II
    • STATS C163Generative Data Science
  • CHEM M186Stochastic Processes in Biochemical Systems
  • EC ENGR C147ANeural Networks and Deep Learning
    • EC ENGR C147BNeural Networks and Deep Learning II
    • EC ENGR 201CArtificial Intelligence on Chip
  • EC ENGR M148Introduction to Data Science
  • COM SCI 112Modeling Uncertainty in Information Systems
    • COM SCI 212AQueueing Systems Theory
    • COM SCI 218Advanced Computer Networks
    • COM SCI 246Web Information Management
    • COM SCI 262ALearning and Reasoning with Bayesian Networks
      • COM SCI 262ZCurrent Topics in Cognitive Systems
      • STATS M241Current Topics in Causal Modeling, Inference, and Reasoning
  • EC ENGR C149Foundations of Computer Vision
  • EC ENGR 230ADetection and Estimation in Communication
    • EC ENGR 230BDigital Communication Systemsanother path to it
    • EC ENGR 230CSignal Processing in Communications
    • EC ENGR 230DAlgorithms and Processing in Communication Systems
  • MATH 168Introduction to Networks

43 courses list this as a requisite. Showing 36 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

  • Fall 2025
  • Winter 2026
  • Spring 2026
  • Summer 2026
  • Fall 2026
  • Winter 2027
  • Spring 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.