Current Courses Taught
STA 3032 (sec. 7661): Engineer Statistics Prerequisite: MAC 2311 (or equivalent)
A survey of the basic concepts in probability and statistics with engineering applications. Topics include probability, discrete and continuous random variables, confidence interval estimation, hypothesis testing, correlation, regression, and analysis of variance.
STA 4211 (sec. 183H ): Design of Experiments Prerequisite: STA 4210
An introduction to the basic principles of experimental design: analysis of variance for experiments with a single factor; randomized blocks and Latin square designs: multiple comparison of treatment means; factorial and nested designs; analysis of covariance; an introduction to response surface methodology.
STA 4502/5507 (sec. 23AA/23AG ): Nonparametric Statistical Methods Prerequisite: STA 3024 or STA 3032 or STA 4210 or STA 4322
Introduction to nonparametric statistics, including one- and two-sample testing and estimation methods, one- and two-way layout models and correlation and regression models.
Summer B 2017
STA 6167 (sec. 4331): Statistical Research Methods II Prerequisite: STA 6166
This course deals with concepts and methods corresponding to several areas of inferential statistics: Analysis of covariance and general linear model. Factorial, nested, split-plot, and incomplete block designs. Analysis of count data.
Summer A 2017
STA 6166 (sec. 01D1): Statistical Research Methods I Prerequisite: STA 2023 (or equivalent)
Not a web/online class. Introduce basic data analysis tools and to train graduate students in statistical tools associated with hypothesis testing and linear models. The aim is to promote sound scientific research and experimentation based on good statistical thinking and practice.