Mathematics of Data Analysis
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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