Mathematics of Data Analysis

Download as PDF

Overview

Subject area

MTH

Catalog Number

4130

Course Title

Mathematics of Data Analysis

Department(s)

Description

This course is an introduction to statistics with a focus on data analysis. Topics covered during the first half of the course include confidence intervals, hypothesis testing, and linear regression. The second half of the course concerns time-serieswith topics including exponential smoothing models, autoregressive and moving average models. Topics and methods in cluster analysis such as K-means cluster analysis and hierarchical cluster analysis will be covered near the end of thesemester. Students are introduced to practical data analysis skills using statistical software such as SAS or MATLAB, or using the R programming language.Not open to students who have completed or are taking STA 3155 or STA 4155.

Typically Offered

Fall, Spring, Summer

Academic Career

Undergraduate

Liberal Arts

Yes

Credits

Minimum Units

4

Maximum Units

4

Academic Progress Units

4

Repeat For Credit

No

Components

Name

Lecture

Hours

4

Requisites

022961

Course Schedule