Save To Worklist Outline/Syllabus

CPSC 340 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.

This course is eligible for Credit/D/Fail grading. To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail website. You must register in the course before you can select the Credit/D/Fail grading option.

Credits: 3

Pre-reqs: CPSC 221 and one of MATH 152, MATH 221, MATH 223 and one of MATH 200, MATH 217, MATH 226, MATH 253, MATH 254 and one of STAT 241, STAT 251, ECON 325, ECON 327, MATH 302, STAT 302, MATH 318.


Status Section Activity Term Interval Days Start Time End Time Comments
RestrictedCPSC 340 911Web-Oriented Course1 Mon Wed Fri9:3012:00
FullCPSC 340 T1ATutorial1 Mon Wed13:3014:30
CPSC 340 T1BTutorial1 Mon Wed14:3015:30
CPSC 340 T1CTutorial1 Mon Wed15:3016:30
FullCPSC 340 T1DTutorial1 Mon Wed12:3013:30
CPSC 340 9W1Waiting List1 Mon Wed Fri9:3012:00