Artificial Intelligence

Introduction to the broad discipline of intelligent agents and their use in building intelligent machines. Covers heuristic search issues, planning, game playing, reasoning with propositional and predicate logic, and reasoning under uncertainty. It presents algorithms such as hill-climbing, dynamic programming, and best-first search. Students also learn about knowledge representation, probabilistic reasoning, with a focus on Bayes’ Theorem and to apply inference and resolution in propositional and first-order predicate logic.

In Class, Assignment

Completing the Diploma in Artificial Intelligence exposes students to various fields for hire, predominantly for software engineers, information systems, information analysts, research analyst, data management, and data analysis in various IT industries. The technology sector in Canada is growing at an expansive rate which is allowing for new opportunities to arise in this field. The job market for graduates with understanding in artificial intelligence, machine learning and deep learning in IT industry is projected to grow 56% in the next few years and create new jobs as the number of companies expanding their IT departments, are growing.