PSYCH 119D

Learning in Biological and Artificial Neural Networks

Psychology · 4 units · Undergraduate upper division (100-199)

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Limited to juniors/seniors. Introduction to fundamental principles of brain-inspired computing. Analysis of how biological and artificial neural networks learn to solve problems by fitting models to data. Review of how advances in artificial intelligence help us to better understand the brain and nervous system.

P/NP or letter grading.

When it runs

Fall 2025

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

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Requisites

Official UCLA wording
Requisite: course 115 or M117C.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data

one of

Requires

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

PSYCH 119D

PSYCH 115Principles of Behavioral Neuroscience
- PSYCH 100APsychological Statistics
  - PSYCH 10Introductory Psychology
  - COMPTNG 10AIntroduction to Programming
  - STATS 10Introduction to Statistical Reasoning
- LIFESCI 7ACell and Molecular Biology

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.