University of South Carolina

• STAT 714: Linear Statistical Models (Fall 2020, Fall 2021)
  Graduate course covering matrix algebra, estimation and inference for linear models, Gauss Markov and generalized least squares models, and shrinkage methods
  [Fall ’21 Syllabus] [Fall ’21 Class Schedule]




• STAT 718: High-Dimensional Data (Spring 2021)
  Graduate course covering supervised and unsupervised machine learning, optimization algorithms for big data, sparse statistical modeling, and structured sparsity regularization.
  [Spring ’21 Syllabus] [Spring ’21 Class Schedule] [Some very nice plots made by students in this class]

  
  

University of Florida

• STA 3024: Introduction to Statistics II (Spring 2016)
  Undergraduate course covering parametric/nonparametric hypothesis tests and confidence intervals, one-way and two-way analysis of variance, simple and multiple linear regression, and categorical data analysis
  [Spring ’16 Syllabus] [Spring ’16 Class Schedule]