EC ENGR 210B · EE 210BInference over Networks
Electrical and Computer Engineering · 4 units · Graduate courses (200-299)
Adaptation, learning, estimation, and detection over networks. Steepest-descent algorithms, stochastic-gradient algorithms, convergence, stability, tracking, and performance analyses. Distributed optimization. Online and distributed adaptation and learning. Synchronous and asynchronous network behavior. Incremental, consensus, diffusion, and gossip strategies.
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
Preparation: prior training in probability theory, random processes, linear algebra, and adaptation. Enforced requisite: course 210A.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "prior training in probability theory" (no course number found)
- · could not read "random processes" (no course number found)
- · could not read "linear algebra" (no course number found)
- · could not read "adaptation" (no course number found)
- · no course reference could be read from this requisite
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 210B
- EC ENGR 210AAdaptation and Learning
- EC ENGR 205AMatrix Analysis for Scientists and Engineers
- EC ENGR 241AStochastic Processes
1 direct requisite. Showing 4 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.
No course in the catalog lists this as a requisite.