Courses
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Descriptions
IEMS 308: Data Science & Analytics

Quarter Offered

Winter : TTH 12:30-1:50 ; Klabjan

Prerequisites

Must have taken IEMS 303, IEMS 304, and EECS 317

Description

This course focuses on select problems in data science.

TOPICS

  • Clustering
  • Association rules
  • Web analytics
  • Text mining
  • Dimensionality reduction

COURSEWORK

Lectures will be complemented with exercises and projects in open source framework R. Prior knowledge of classification techniques and R is required.

REQUIRED COURSE MATERIALS

There are no required textbooks or other materials for this course.