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Undergraduate Programs » Undergraduate Courses


Undergraduate Statistics Course Descriptions

 

STAT 201 - Introduction to Statistics
3 Credit Hours


Data collection techniques. Graphical and numerical summaries of data. Introduction to probability and probability distributions. Binomial and normal distributions. Inference for a single mean, a single proportion, difference in means and difference in proportions using confidence intervals and hypothesis testing. Simple linear regression and correlation. Association between categorical variables. Use of statistical computing software. Applied course appropriate for a general audience. 
Satisfies General Education Requirement: (QR)
(RE) Prerequisite(s): Mathematics 125 or Mathematics 141.

 

STAT 207 - Honors: Introduction to Statistics
3 Credit Hours


Intended as an alternative to 201 for higher GPA students. 
Satisfies General Education Requirement: (QR)
Contact Hour Distribution: Two 50-minute lectures and one 110-minute lab per week.
(RE) Prerequisite(s): Mathematics 125 or Mathematics 141.
Recommended Background: 28 composite ACT or 1250 composite SAT.

 

STAT 251 - Probability and Statistics for Scientists and Engineers
3 Credit Hours


Data collection and descriptive statistics. Concepts of probability and probability distributions. Discrete and continuous distributions. Estimation of means, confidence intervals, and hypothesis tests for single mean and proportion. Simple regression and correlation. Process improvement, statistical process control, and 2-level experiments. Use of statistical computing software. 
(RE) Prerequisite(s): Mathematics 142 or Mathematics 148.

 

STAT 320 - Regression Modeling
3 Credit Hours


Simple linear regression and correlation analysis, time series analysis, multiple regression, variable selection, regression diagnostics, partial correlation, and categorical data analysis techniques. Use of statistical computing software. Applied course appropriate for a general audience. 
(RE) Prerequisite(s): 201 or 207 or 251.

 

STAT 340 - Experimental Methods and Process Improvement
3 Credit Hours


Statistical methods for process improvement. Special/common cause model of variation directed towards understanding sources of variation affecting process operations. Strategies of process experimentation, including randomization, blocking, sequential experimentation, and replication. Use of statistical computing software. 
(RE) Prerequisite(s): 201 or 207 or 251.

 

STAT 370 - Search Engine Marketing:  Paid Search Advertising Management and Optimization Strategies
3 Credit Hours


Learn the fundamentals of creating, managing and optimizing an online marketing campaign in a hands on class.  Students will learn by creating a Google AdWords campaign with an actual budget.  During the semester they will be given an opportunity to analyze the performance and improve their campaigns.  The class will prepare students for 2 of the 4 AdWords Certification Exams.
Intended Audience: Junior or Seniors in Marketing or Business Analytics
(RE) Prerequisite(s): 201 or 251. Instructor permission required to add course (email instructor).


STAT 471 - Business Analytics Capstone
3 Credit Hours


Numeric and graphic description of data, probability and probability distributions, simulation, and sampling distributions. Estimation and hypothesis testing for one and two samples, parametric and nonparametric approaches, and bootstrapping. Tests for count data, simple and multiple linear regression, diagnostics and validation, and analysis of variance. Data Screening. Use of SAS and other statistical software. 
(RE) Prerequisite(s): 320 with grade of C or better.

 

STAT 474 - Data Mining and Business Analytics
3 Credit Hours


Understanding and application of data mining methods. Data preparation, exploratory data analysis and visualization, cluster analysis, logistic regression, decision trees, neural networks, association rules, model assessment, and other topics. Applications to real world data. Use of standard computer packages. 
(RE) Prerequisite(s): 320 with grade of C or better.

 

STAT 475 - Applied Time Series and Forecasting
3 Credit Hours


Model building techniques for linear time series models, practical methods for univariate time series forecasting, Box-Jenkins forecasting methods, forecasting based on exponential smoothing, autoregression and stepwise autoregression, and forecasting from regression models. Use of standard computing packages. Major writing requirement. 
(RE) Prerequisite(s): 320 with grade of C or better.

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