Save To Worklist Outline/Syllabus

CPSC 340 103 (Web-Oriented Course)

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

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 Mon Wed Fri14:0015:00
Instructor: WOOD, FRANK DONALD
Note: this section is restricted

Seat Summary
Total Seats Remaining:12
Currently Registered:138
General Seats Remaining:0
Restricted Seats Remaining*:12
    *These seats are reserved for students who meet one of the following sets of restrictions:
 
  1. in one of these categories: Exchange Student, Visitor
  2. in one of these programs: BCS -OR-
    with one of these specializations: ****BUCC,****BUCS,****COMI -OR-
    with one of these specializations: CHN CPSC,CMJ CPSC,HON CPSC,MAJ CPSC -OR-
    with one of these specializations: MAJ MASC
-  Select one Tutorial from sections T1A, T1B, T1C, T1D, T1E, T1F, T1G, T1H, T1K, T1Z

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