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Descriptions

IEMS 308: Data Science & Analytics

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Prerequisites

Must have taken IEMS 303, IEMS 304, and COMP_SCI 217

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.