Academic Calendar 2022-2023

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COGS 400 Neural and Genetic Cognitive Models

COGS 400  Neural and Genetic Cognitive Models  Units: 3.00  

Artificial Neural Networks (ANN) and Genetic Algorithms (GA) for problem solving and prediction tasks such as classification, clustering, optimization and data reduction and modeling human cognition, with application to real world problems. Ongoing research in this area in various application domains.
LEARNING HOURS 120 (36L;84P)

Requirements: Prerequisite Registration in a COGS Plan and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in (CISC 235 or ELEC 278). Exclusion CISC 452; CMPE 452.  
Offering Faculty: Faculty of Arts and Science