Catalog Entries |
Fall 2020
Apr 19,2024 |
|
 |
||
 | Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
| STA 565 - Applied Statistics I |
|
STA 565 Applied Statistics I (4). A study of applied statistical techniques including correlation, regression, analysis of variance and non-parametric methods with a view toward applications. A statistical computer package will be used when appropriate, but no computer background is required. Prerequisite: an undergraduate course in statistics or consent of instructor.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Web Mathematics & Statistics Department Course Attributes: Trad (Fees) |
| STA 566 - Applied Statistics II |
|
STA (MAT) 566 Applied Statistics II (3). A continuation of MAT 565. Includes further topics in analysis and variance, non-parametrics and multivariate analysis. Prerequisite: STA 565.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Web Mathematics & Statistics Department Course Attributes: Trad (Fees) |
| STA 567 - Introduction to Time Series Analysis |
|
STA (MAT) 567 Introduction to Time Series Analysis (3). An introductory time series analysis course that introduces students to classical and modern time series models. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to forecast future events based on known past events: to predict data points before they are measured. This course serves junior and senior mathematics majors, mathematics minors, and other interested students. A student taking this course should have a background in statistical methods. Prerequisites: STA 565 or consent of instructor.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Web Mathematics & Statistics Department Course Attributes: Trad (Fees) |
|