Texas A&M University 2016-2020
Note: 6xx are Graduate Courses, and 489/689 are Special Topics Courses.
STAT 211 | Principles of Statistics I
STAT 212 | Principles of Statistics II
STAT 404 | Statistical Computing
STAT 408 | Introduction to Linear Models
STAT 438 | Bayesian Statistics
STAT 482 | Statistics Capstone
STAT 485 | Directed Studies in Stochastic Processes
STAT 489 | Statistics and Data Science
STAT 491 | Research in Statistics
STAT 610 | Distribution Theory
STAT 611 | Theory of Inference
STAT 612 | Theory of Linear Models
STAT 636 | Applied Multivariate Analysis
STAT 642 | Methods of Statistics II
STAT 689 | Flexible Regression using R
STAT 689 | Statistical Computations
MATH 172 | Calculus II
MATH 221 | Several Variable Calculus
MATH 304 | Linear Algebra
MATH 409 | Advanced Calculus I
MATH 447 | Principles of Analysis II
MATH 615 | Introduction to Classical Analysis (GR)
MATH 689 | Deep Learning: Theory and Applications (GR)
CSCE 110 | Programming I
CSCE 206 | Structured Programming in C
Cornell University 2020-?
STSCI 6520 | Computationally Intensive Statistical Methods
STSCI 6610 | Spatial Data Analysis
STSCI 6730 | Mathematical Statistics I
STSCI 6740 | Mathematical Statistics II
STSCI 6750 | Probability II for Statistics
STSCI 6780 | Bayesian Statistics and Data Analysis
STSCI 6940 | Time Series and Spatiotemporal Data Science
STSCI 7170 | Theory of Linear Models
STSCI 7180 | Generalized Linear Models
STSCI 7950 | Statistical Consulting
STSCI 7951 | Advanced Statistical Consulting