Undergraduate courses I have TA’d at Temple University

  • CIS 1051, Introduction to Problem Solving and Programming in Python (Spring 2020)
  • MATH 1013, Elements of Statistics and Data Science (Fall 2020)

Graduate courses I have TA’d at Temple University

  • STAT 3503/8109, Applied Statistics and Data Science (Fall 2021)

Teaching Materials

  • Notes
    • R Programming
      • Variables and Data Types
      • Conditional Logic
      • Functions
      • Loops
      • Visualizations with ggplot2
    • Math Foundations
      • Sets, Functions, and Notation
      • Set Operations
      • Functions
      • Derivatives, Derivative “Shortcuts,” and the Chain Rule
      • Finding Minima/Maxima
      • Sums and Integration
    • Probability
      • Probability Basics
      • Random Variables and Probability Distributions
      • Named Distributions
    • Probabilistic Modeling and Likelihoods
      • Empirical and Theoretical Distributions
      • Likelihoods
      • Mixture Models
      • Using R for Probabilistic Modeling
    • Statistical Learning
    • Point Estimation
      • Method of Moments Estimation
      • Maximum Likelihood Estimation