Save To Worklist Outline/Syllabus

CPSC 340 T1D (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 (May 11, 2020 to Jun 18, 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): May 15, 2020


Withdrawal Dates
Last day to withdraw without a W standing : May 15, 2020
Last day to withdraw with a W standing
(course cannot be dropped after this date) :
May 29, 2020

TermDay Start TimeEnd TimeBuildingRoom
1 Mon Wed16:0017:00Hugh Dempster Pavilion101
Instructor: TBA
Note: this section is blocked from registration. Check the comments for details or contact the department for further details.

Seat Summary
Total Seats Remaining:40
Currently Registered:0
General Seats Remaining:40
Restricted Seats Remaining*:0

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