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Artificial Intelligence COMP 8085

Computer Systems Part-time Studies Course

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)

Credits

3.0

Not offered this term
This course is not offered this term through BCIT Part-time Studies. Please check back next term or subscribe to receive email updates.

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

Artificial Intelligence (COMP 8085) is offered as a part of the following programs:

School of Computing and Academic Studies

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

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.