Coursework

Below is a list of my PhD coursework at Auburn University.

Spring 2025 (third year):

• Database Systems I
• Machine Learning
• Applied Multivariate Statistical Analyis

Fall 2024 (third year):

• Data Mining
• Regression Analysis
• Ring Theory
  • Introduction to Commutative Algebra by Atiyah and MacDonald

Spring 2024 (second year):

• Introduction to Algebraic Topology II
  • Algebraic Topology by Hatcher
• Algebraic Geometry
  • Basic Algebraic Geometry 1 by Shafarevich
• Statistical Learning
  • An Introduction to Statistical Learning with Applications in R by James, Witten, Hastie, and Tibshirani

Fall 2023 (second year):

• Introduction to Lie Groups
  • Lie Groups by Bump
  • Representation Theory: A First Course by Fulton and Harris
• Introduction to Algebraic Topology I
  • Algebraic Topology by Hatcher
• Intermediate Statistical Methods for Data Science
  • An Introduction to Statistical Learning with Applications in R by James, Witten, Hastie, and Tibshirani
• GTA Training II

Summer 2023 (second year):

• Independent reading course
  • Ideals, Varieties, and Algorithms by Cox, Little, and O’Shea

Spring 2023 (first year):

• Algebra II
  • Algebra by Artin
• Advanced Topics in Graph Theory
  • No textbook, but emphasized rainbow matchings
• Probability II
  • Probability: Theory and Measure by Billingsley
• GTA Training I

Fall 2022 (first year):

• Algebra I
  • Algebra by Artin
• Graph Theory
  • No textbook
• Probability I
  • Probability: Theory and Measure by Billingsley