Skip to main content

Course Outlines

COMP 7405

Topics in Computer Programming – Artificial Intelligence

School School of Computing and Academic Studies
Program Bachelor of Technology - Computer Systems
Course Credits 3
Minimum Passing Grade 60%
Start Date September 15, 2021
End Date December 01, 2021
Total Hours 45
Total Weeks 12
Hours/Weeks 3.75
Delivery Type Other
Pre-requisites ​Acceptance into the Bachelor of Technology in Computer Systems Degree program OR special permission (COMP2121, MATH3042, COMP3522 or equivalent).
CRN 46915

Acknowledgement of Territories

The British Columbia Institute of Technology acknowledges that our campuses are located on the unceded traditional territories of the Coast Salish Nations of Sḵwx̱wú7mesh (Squamish), səl̓ilwətaɁɬ (Tsleil-Waututh), and xwməθkwəy̓əm (Musqueam).

Instructor Details

Name Chi En Huang
E-mail Instructor to provide
Location Virtual online
Office Hours Instructor to provide

Course Description

​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.

Course Learning Outcomes/Competencies

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.

Learning Resources

Artificial Intelligence: A Modern Approach (4th Edition)
Stuart Russell, Peter Norvig
Pearson
ISBN: 978-0134610993

The Elements of Statistical Learning (2nd Edition)
Trevor Hastie, Robert Tibshirani, Jerome Friedman
Springer
ISBN: 978-0387848570

Evaluation Criteria

Criteria %
Lab Exercises45
Project40
Peer Evaluation15
TOTAL100

Note: Passing Grade is 60%.

Attendance Requirements

Attendance in lectures and labs is mandatory.

In case of illness or other unavoidable cause of absence, the student must communicate as soon as possible with his/her instructor, indicating the reason for the absence.

Prolonged illness which causes the student to miss 10% or more of the lectures and labs will require a BCIT-approved medical certificate submitted to the department, substantiating the reason for the absence.

Unapproved absence of 10% or more of the lectures and labs may result in failure or forced withdrawal from this course.

Other information

Recording of lessons is prohibited without prior written consent of the instructor. If you wish to record lessons, you must contact the instructor during office hours and make suitable arrangements. In such cases where recordings are allowed by the instructor, these recordings are for the exclusive use of the student making the recording, and are not to be posted online or shared with others.

Course Schedule and Assignments

Week

Material Covered

1

Introduction
Solving Problems by Searching I

2

Solving Problems by Searching II

3

Adversarial Search

4

Statistical Learning

5

Linear Methods for Regression

6

Model Assessment and Selection
Cross-Validation

7

Decision Trees

8

k-Nearest Neighbors
Cluster Analysis

9

Deep Learning I

10

Deep Learning II

11

Societal Implications and Ethics

12

Project Presentation

This schedule is tentative and subject to change as certain material may take longer/shorter. From time to time (as required), some notes may be posted on the BCIT Learning Hub. You must also read the supplementary material posted online.

BCIT Policy

Any student who needs special assistance in the event of a medical emergency or building evacuation (either because of a disability or for any other reason) should promptly inform their course instructor(s) and Accessibility Services of their personal circumstances.

Human Rights, Harassment and Discrimination:
The BCIT community is made up of individuals from every ability, background, experience and identity, each contributing uniquely to the richness and diversity of the BCIT community as a whole. In recognition of this, and the intrinsic value of our diversity, BCIT seeks to foster a climate of collaboration, understanding and mutual respect between all members of the community and ensure an inclusive accessible working and learning environment where everyone can succeed.

Respect, Diversity, and Inclusion is a supportive resource for both students and employees of BCIT, to foster a respectful learning and working environment. Any student who feels that they are experiencing discrimination or harassment (personal or human rights-related) can confidentially access this resource for advice and support. Please see Policy 7507 – Harassment and Discrimination and accompanying procedure.

Students should make themselves aware of additional Education, Administration, Safety and other BCIT policies listed at https://www.bcit.ca/about/administration/policies.shtml

Guidelines for School of Computing and Academic Studies

Attempts:
Students must successfully complete a course within a maximum of three (3) attempts at the course. Students with two attempts in a single course will be allowed to repeat the course only upon special written permission from the Associate Dean. Students who have not successfully completed a course within three attempts will not be eligible to graduate from their respective program.

Approved

I verify that the content of this course outline is current.
Chi En Huang, Program Head
August 23, 2021

I verify that this course outline has been reviewed.
Mirela Gutica, Program Head
August 24, 2021

I verify that this course outline has been reviewed and complies with BCIT policy.
Aaron Hunter, Acting Associate Dean
August 24, 2021

Note: Should changes be required to the content of this course outline, students will be given reasonable notice.