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)
- 60% in COMP 8042
Credits
3.0
Cost
$794.00
Course offerings
Spring/Summer 2023
Below is one offering of COMP 8085 for the Spring/Summer 2023 term.
CRN 68782
Duration
Mon Apr 17 - Mon Jul 17 (12 weeks)
- 12 weeks
- CRN 68782
- $794.00
Class meeting times
Dates | Days | Times | Locations |
---|---|---|---|
Apr 17 - Jul 17 | Mon | 18:30 - 22:15 | Burnaby SE12 Rm. 325 |
Instructor
Sayyedhassan Shavarani
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$794.00
Important information
- Departmental approval needed
-
Please email cstbtech@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ . CST BTech courses are also open to non-bachelor program students, if approval is granted by the BTech Program Head. No class May 22 (Victoria Day) and July 3 (Canada Day).
Status
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
- Computer Systems (Database Option)
Bachelor of Technology Part-time
- Computer Systems (Games Development Option)
Bachelor of Technology Full-time
- Computer Systems (Human Computer Interface Option)
Bachelor of Technology Part-time
- Computer Systems (Network Security Administration Option)
Bachelor of Technology Part-time
- Computer Systems (Network Security Applications Development)
Bachelor of Technology Full-time
- Computer Systems (Network Security Applications Development Option)
Bachelor of Technology Part-time
- Computer Systems (Wireless and Mobile Applications Development Option)
Bachelor of Technology Part-time
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