Undergraduate Catalog 2021-2022

STAT 406 Multiple Linear Regression

Topics in multiple linear regression, estimation of model parameters, inferences, diagnostics, model assumptions, ANOVA formulation.
3

Prerequisites

(MATH 350 or STAT 355 with a minimum grade of D-) or (STAT 150 and MATH 131 with a minimum grade of D-)

Course Fee

Differential Tuition Required

STAT 409 Sampling Techniques

Introduction to elementary sampling concepts. Includes random sampling, stratified sampling, cluster sampling and systematic sampling. Inferences and assumptions are presented for all sampling methods.
3

Prerequisites

(MATH 350 or STAT 355 with a minimum grade of D-) or (STAT 150 and MATH 131 with a minimum grade of D-)

Course Fee

Differential Tuition Required

STAT 411 Fundamentals of Data Science

This course is an introduction to the elements of data science. Topics include data visualization, data wrangling, statistical learning and predictive analytics, text mining and spatial data.
3

Course Fee

Differential Tuition Required

STAT 422 Directed Studies

Individualized investigation under the direct supervision of a faculty member. (Minimum of 37.5 clock hours required per credit hour.)
1- 3

Special Notes

Maximum concurrent enrollment is two times.

Course Attribute

Variable Title Course

Repeatable Status

Course is repeatable with no limitations

Course Fee

Differential Tuition Required

STAT 489 Project in Data Science

This is a project course in data science and related fields. Interdisciplinary teams will analyze a new data science problem, develop a model, and control for error and overfitting.
2

Prerequisites

STAT 411 with a minimum grade of C

Mutually Exclusive Course

Credit allowed for only one of these courses: CS 489 and STAT 489

Course Fee

Differential Tuition Required