Ph.D. or M.Sc. with Appropriate Experience in Computer Science or a closely related discipline
Prior Teaching Experience:
Post-secondary teaching of a similar course
Required competence, capability, skill and ability related to course content:
* Knowledge of AI methodologies and their appropriate application.
* Able to critique and mark students assignments and provide constructive criticism.
* Experience developing lab exercises related to assignments.
* Be able to provide three hours of lectures a week.
* Fluently communicate in written and spoken English.
* Be familiar with course text: Russel, S. and P. Norvig,/Artificial Intelligence: A Modern Approach/, Pearson/Prentice-Hall, 3rd edition, 2010. ISBN 978-0-13-604259-4
* Fluent in the following AI Topics:
- Problem solving by blind research and heuristic search including A*
- Knowledge representation with propositional logic and inference by resolution and chaining
- Learning decision trees by attribute test
- Regression, classification by linear models, gradient descent, and neutral networks.