Course Description

Introduction to Neural Network, COGS 103

Introduction to the use of neural networks in the study of cognitive phenomena. Topics include perception, attention, language, memory, and biologically realistic model neurons.

Key Information

Credit: 6 quarter units / 4 semester units credit
UC Merced, Cognitive Science

Course Credit:

Upon successful completion, all online courses offered through cross-enrollment provide UC unit credit. Some courses are approved for GE, major preparation and/or, major credit or can be used as a substitute for a course at your campus.
If "unit credit" is listed by your campus, consult your department, academic adviser or Student Affairs division to inquire about the petition process for more than unit credit for the course.

UC Berkeley:
Unit Credit

UC Davis:
Unit Credit

UC Irvine:
Unit Credit

UC Los Angeles:
Unit Credit

UC Merced:
Unit Credit (see your Academic Advisor)

UC Riverside:
General Education: Elective units

UC San Diego:
General Education: TMC 1 course toward upper division disciplinary breadth if noncontiguous to major; Warren - may be counted depending on major/PofC/AS, transfer students may use for UD noncontiguous GE depending on major; Sixth -1 course towards Analytic Methodologies
Major Requirement: UCSD CogSci major's general elective and Machine Learning & Neural Computational Elective

UC San Francisco:
Unit Credit

UC Santa Barbara:
Unit Credit

UC Santa Cruz:
Unit Credit


COGS 001 Minimum Grade: C- or PSY 001 Minimum Grade: C- or You must have received a score of 4 on the APPS test or consent of instructor.

Course Creator

Jeffrey Yoshimi
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