Advanced Data Mining

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Overview

Subject area

STA

Catalog Number

4920

Course Title

Advanced Data Mining

Description

Many new problems in business, science, industry, arts, and entertainment require both traditional and non-traditional forms of “data mining” — the computational process of extracting patterns and trends in large data sets, and the process of learning from data. This course concentrates on presenting modern data mining methods that have been widely used. The students will learn the intuitions, assumptions, and trade-offs involved with each of these methods. Most importantly, they will learn how to think about and apply statistical learning methods to real-world problems. All programming work will be carried out in R software.

Typically Offered

Fall, Spring, Summer

Academic Career

Undergraduate

Liberal Arts

No

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Requisites

032455

Course Schedule