EC ENGR 231A · EE 231AInformation Theory
Electrical and Computer Engineering · 4 units · Graduate courses (200-299)
Fundamentals information compression, transmission, processing, and learning. Topics include limits and algorithms for lossless data compression, connections to model estimation and learning, channel capacity, rate versus distortion in lossy compression, and basics of information theory for networks.
Letter grading.
When it runs
- Fall 2025
- Fall 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisite: course 131A.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
EC ENGR 231A
- EC ENGR 131AProbability and Statistics
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 231A
- EC ENGR 231BNetwork Information Theory
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.