Academic Calendar 2022-2023

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CISC 455 Evolutionary Optimization and Learning

CISC 455  Evolutionary Optimization and Learning  Units: 3.00  

Building, applying and studying algorithms based on the Darwinian principles of natural evolution. A creative approach to AI able to create novel solutions. Genetic algorithms, evolution strategies, and genetic programming. Application to optimization and learning problems.

Learning Hours: 120 (36 Lecture, 84 Private Study)  
Requirements: Prerequisite Registration in a School of Computing Plan and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in (CISC 365 and STAT 263).  
Offering Faculty: Faculty of Arts and Science