Save To Worklist Outline/Syllabus

CPSC 340 T1C (Tutorial)

Machine Learning and Data Mining

Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.

For Credit/D/Fail grading eligibility information for this course, please see the primary (e.g. Lecture) section of this course.

Credits: n/a

Location: Vancouver

Term 1 (Sep 08, 2020 to Dec 03, 2020)

Cr/D/F Grading Change Dates

Last day to change between Credit/D/Fail and percentage grading (grading options cannot be changed after this date): September 21, 2020


Withdrawal Dates
Last day to withdraw without a W standing : September 21, 2020
Last day to withdraw with a W standing
(course cannot be dropped after this date) :
October 30, 2020

TermDay Start TimeEnd TimeBuildingRoom
1 Thu10:0011:00
Instructor: TBA


Seat Summary
Total Seats Remaining:34
Currently Registered:6
General Seats Remaining:34
Restricted Seats Remaining*:0

Book Summary :
Information for the books required for this section is not available.