British Columbia Institute of Technologywww.bcit.ca/study/courses/comp7405

Important Notice: COVID-19 Institute response

BCIT

COMP 7405 - Topics in Computer Programming – Artificial Intelligence

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

BCIT is planning for a substantial return to on-campus activity for the fall 2021 term as informed by BC Public Health Officer guidelines. Refer to each course listing for details.

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

$510.89

Fall 2021

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

CRN 46915

Wed Sep 15 - Wed Dec 01 12 Weeks

Class Meeting Times

Dates Days Times Locations
Sep 15 - Dec 01 Wed 18:00 - 21:45 Online

Instructor

Chi En Huang

Course Outline

Cost

$510.89

Notes

  1. Internet delivery format.
  2. Departmental approval needed
  3. This course will be offered online in the Fall 2021 term. 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. 4. This course is part of the Athena Pathways project – learn more at athenapathways.org

This course offering is in progress. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

In Progress

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

COMP 7405 is offered as a part of the following programs:

School of Computing and Academic Studies

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

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English Language Proficiency

BCIT's Part-time Studies English Language Proficiency Standard is English 12 (or equivalency). Students who do not meet this requirement should upgrade their English skills prior to any future registration.

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Registration is currently open for the Fall 2021 term.

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