CPSC565
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Emergent Computing
Subject
CPSC - Computer Science
Description
An insight into a new mindset for programming as an emergent and evolutionary process. Programs can evolve and learn as a result of training and emergency from augmented intelligence systems properties rather than being manually coded. Topics will include: agent-based programming, emergent augmented intelligence, evolutionary algorithms, swarm intelligence, neural networks and other bio-inspired methodologies for constructing intelligent systems.
Prerequisite(s): Computer Science 217 or 231 or Data Science 211; and 6 units offered by the Faculty of Science at the 400 level or above.
Prerequisite(s): Computer Science 217 or 231 or Data Science 211; and 6 units offered by the Faculty of Science at the 400 level or above.
Signature Learning
Research & Creative Scholarship
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-2T), Research & Creative Scholarship - Related
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Component
TUT
Units
3
Repeat for Credit
No
Subject code
CPSC