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.
Acceptance into the Bachelor of Technology in Computer Systems Degree program OR special permission (COMP2121, MATH3042, COMP3522 or equivalent).
Below is one offering of this course for the Fall 2020 term.
Wed Sep 16 - Wed Dec 09 12 Weeks
|Sep 16 - Dec 09||Wed||18:00 - 21:45||BBY Online Delivery|
Chi En Huang
Upon successful completion of this course, the student will be able to:
Effective as of Spring/Summer 2020
The BCIT bookstore carries textbooks, general reference books, software, and stationery. Please visit bcit.ca/bookstore for more information.
Books for Fall 2020 offerings of this course are available in the following BCIT online bookstores. Please choose the bookstore appropriate for the offering you are considering.
If you are taking this course, but are not taking it through either Distance Education or Online Learning, nor at the BCIT Downtown Campus (DTC), please purchase books for this course at the BCIT Burnaby Bookstore.
|Artificial Intelligence: A Modern Approach|
|Elements Of Statistical Learning|
|Python Machine Learning, 2Nd Ed|
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