Software Engineering (SENG) Courses>Data Mining

SENG474 - Data Mining

Description

An introduction to data mining. Data preparation, model building, and data mining techniques such as clustering, decisions trees and neural networks are discussed and applied to case studies. Data-mining software tools are reviewed and compared.

Units

1.5

Hours: lecture-lab-tutorial

3-1-0

Prerequisites

  • Complete all of the following
    • Complete all of:
      • SENG265 - Software Development Methods (1.5)
    • Complete 1 of:
      • MATH110 - Matrix Algebra for Engineers (1.5)
      • MATH211 - Matrix Algebra I (1.5)
    • Complete 1 of:
      • STAT252 - Statistics for Business (1.5)
      • STAT254 - Probability and Statistics for Engineers (1.5)
      • STAT255 - Statistics for Life Sciences I (1.5)
      • STAT260 - Introduction to Probability and Statistics I (1.5)
    • minimum third-year standing.

Course offered by

Software Engineering

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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