Most Recent Courses Taught


Summer A 2017

  • Img

    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.

    Syllabus


Spring 2017

  • Img

    STA 3032 (sec. 1H76): Engineering Statistics Prerequisite: MAC 2311 (or equivalent)
    An online class for UFO. 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.

    Syllabus

  • Img

    STA 4211 (sec. 2A23 ): 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.

    Syllabus

  • Img

    STA 6166 (sec. 13F8): 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.

    Syllabus


Fall 2017

  • Img

    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.

  • Img

    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.

  • Img

    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.

    Syllabus