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#Cogs 189 ucsd series

How we learn predictive representations of the world and how we simulate the future when making a decision.Įran Mukamel. Research: Reinforcement learning, planning, memory, network neuroscience, computational neuroscience, probabilistic inference. Research: Using machine learning to extract knowledge from complex biological datasets.

Assistant Teaching Professor, CSB 257, website. Research: We use computational modeling, psychophysics studies, and machine learning to learn more about visual and multi-sensory perception.

COGS 160 may only be used once for an elective.

degree, but only with the approval of both the instructor who supervised the course and the undergraduate advisor.

#Cogs 189 ucsd series

One course in the Cognitive Science 19X series may be used as an elective to satisfy the requirements for the B.S.Students specializing in Machine Learning and Neural Computation must choose 2 from this group of classes for their Specialization Electives: COGS 118A, 118B, 118C, and 118D.At least 4 of the 6 electives must be taken from the approved specialization elective list.

A total of 6 electives are required, where at least 3 of the 6 electives must be taken within the Cognitive Science department.

Cognitive Neuroscience ( choose any 2) : COGS 107A, 107B, 107C.

Fundamental Cognitive Phenomena ( choose any 2) : COGS 101A, 101B, 101C.

* Machine Learning students are strongly advised to take COGS 18, as it is a pre-requisite for Cogs 118A-B-C-D, of which 2 are required for the Machine Learning Specialization.

Programming: COGS 18 * or BILD 62 or CSE 6R or 8A or 11.