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Topics in Computer Programming – Artificial Intelligence COMP 7405

Computer Systems Part-time Studies Course

Course details

​This course provides an introduction to the various topics in Artificial Intelligence (AI). Topics to be covered include search, games, regression, classification and neural networks. Students will develop an understanding of the fundamentals underpinning AI applications and gain hands-on experience through the development of AI systems. Practical work in course projects focuses on developing components of AI systems as well as analyzing real-world datasets from different domains. The societal implications and ethical considerations in the design of AI systems will also be discussed.

Prerequisite(s)

  • Acceptance into the Bachelor of Technology in Computer Systems Degree program OR special permission (COMP2121, MATH3042, COMP3522 or equivalent).

Credits

3.0

Cost

$483.61

Course offerings

Fall 2022

Below is one offering of COMP 7405 for the Fall 2022 term.

CRN 46915

Duration

Wed Sep 14 - Wed Nov 30 (12 weeks)

  • 12 weeks
  • CRN 46915
  • $483.61
Class meeting times
Dates Days Times Locations
Sep 14 - Nov 30 Wed 18:00 - 21:45 Online
Instructor

Chi En Huang

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Cost

$483.61

Important information
  1. Internet delivery format.
  2. Departmental approval needed
  3. 1. Please email cstbtech@bcit.ca for departmental approval. Include your student number (A0#), course number (COMP__) and preferred CRN. 2. This is a CST BTech course. CST BTech courses are also open to non-bachelor program students. 3. 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.
Status

Learning Outcomes

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

  • Describe current applications of AI.
  • Solve problems using uninformed, informed and adversarial search techniques.
  • Explain the concepts of learning and the differences between unsupervised, supervised and reinforcement learning.
  • Explain the basics of different regression, classification and neural network techniques.
  • Apply machine learning techniques and algorithms to datasets.
  • Perform model selection and parameter tuning of machine learning techniques.
  • Design and develop components of AI systems.
  • Identify potential applications of AI techniques to real-world problems.
  • Investigate societal implications and ethics of AI.

Effective as of Spring/Summer 2020

Related Programs

Topics in Computer Programming – Artificial Intelligence (COMP 7405) 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 (Human Computer Interface Option)
    Bachelor of Technology Part-time
  3. Computer Systems (Network Security Administration Option)
    Bachelor of Technology Part-time
  4. Computer Systems (Network Security Applications Development Option)
    Bachelor of Technology Part-time
  5. 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 program 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.