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COMP 8085 - Artificial Intelligence

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

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Course Details

​Artificial Intelligence (AI) is the intelligence expected to be demonstrated by machines and computer programs. This course is designed to provide students with expertise in creating and modifying required AI algorithms and techniques. The first part of the course will focus on classic AI solutions (especially decision making) while the second part will cover some of machine learning (ML) related applications of AI (with an emphasis on learning from examples). The course will consider real world problems that need to be solved with applications of AI and the techniques used to build such applications (e.g. using the techniques to create challenging non player characters (NPC) in games development or password strength classification and intrusion detection in network security). More specifically, students will learn about the searching paradigm in designing intelligent agents and will practice implementing search algorithms. Logical knowledge representation and reasoning (another essential tool for AI experts) will be another topic in this course. Probabilistic reasoning will also be explored to help students learn how to deal with incomplete information and uncertainty. The course will also examine different learning techniques to guide students in creating self-learning models that can improve performance in decision-making over time through practical examples.

Prerequisite(s)

COMP 8042

Credits

3.0

Cost

$761.09

Winter 2021

Below is one offering of this course for the Winter 2021 term.

CRN 88254

Mon Jan 04 - Mon Mar 29 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 04 - Mar 29 Mon 18:30 - 22:15 Online Delivery
See Notes below

Instructor

TBD

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$761.09

Notes

  1. No class February 15 (Family Day). This is a CST BTech course. CST BTech courses are also open to non-bachelor program students. CST Bachelor program students have up to seven (7) years to complete the Bachelor program starting from the date of their first Technical degree-level course or the date of acceptance to the Bachelor program, WHICHEVER COMES FIRST.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Describe what AI and ML are.
  • Identify the right solution for a specific AI problem.
  • State what an agent is and what is the difference between an intelligent agent and a human.
  • Design and implement common search algorithms in AI including heuristic search and game search trees (e.g. minimax).
  • Design and implement logical reasoning and representation models.
  • Demonstrate reasoning in the presence of incomplete and/or uncertain information (probabilistic reasoning).
  • Describe ML related applications of AI.
  • Practice different 'learning from examples' algorithms (e.g. decision trees, regression models, artificial neural networks, inductive inference).
  • Apply AI and ML techniques to real world problems (e.g. natural language processing or computer vision).

Effective as of Fall 2020

Related Programs

COMP 8085 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Computer Systems (Games Development Option)
    Full-time   Bachelor of Technology
  2. Computer Systems (Network Security Applications Development)
    Full-time   Bachelor of Technology
  3. Computer Systems (Database Option)
    Part-time   Bachelor of Technology
  4. Computer Systems (Human Computer Interface Option)
    Part-time   Bachelor of Technology
  5. Computer Systems (Network Security Administration Option)
    Part-time   Bachelor of Technology
  6. Computer Systems (Network Security Applications Development Option)
    Part-time   Bachelor of Technology
  7. Computer Systems (Wireless and Mobile Applications Development Option)
    Part-time   Bachelor of Technology

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