Advanced Data Mining

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Overview

Subject code

STA

Course Number

4920

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.

Career

Undergraduate

Credits

Value

3

Max

3

Min

3

Course Count

1

Number Of Credits

3

Number Of Repeats

1

Repeatable

No

Contact Use

Yes

Generate Attendance

No

Left Use

Yes

Present Use

Yes

Reason Use

Yes

Tardy Use

Yes

Template Override

No

Time Use

Yes

Attendance Type

Class Meeting

Auto Create

No

Code

LEC

Instructor Contact Hours

3

Default Section Size

30

Final Exam Type

Yes

Include in Dynamic Date Calc

No

Instruction Mode

In Person

LMS File Type

Blackboard CourseInfo 4

Name

Lecture

OEE Workload Hours

0

Optional Component

No

Preferred Room Features

Academic Scheduling

Workload Hours

3