Teaching
My teaching spans applied mathematics, statistics, machine learning, data science, scientific computing, and interdisciplinary computational methods. I emphasize project-based learning, computational problem solving, and undergraduate research preparation.
Tougaloo College
2015–Present
- MAT 103: College Algebra II
- MAT 104: Trigonometry
- MAT 208: Biostatistics
- MAT 218: Discrete Mathematics
- MAT 221: Calculus I
- MAT 222: Calculus II
- MAT 321: Calculus III
- MAT 322: Calculus IV
- MAT 316: Differential Equations
- MAT 326: Introduction to Probability Theory
- MAT 338: Numerical Analysis
- MAT 341: Linear Algebra
- MAT 345: Topology
- MAT 371: Introduction to Machine Learning
- MAT 414: Modern Algebra
- MAT 426: Advanced Calculus
- MAT 429: Complex Variables
- MAT 434: Theory of Mathematical Statistics
- MAT 452: Data Analysis and Visualization
- MAT 491: Senior Seminar I
- MAT 492: Senior Seminar II
- CSC 460: Introduction to Geographic Information Systems
- CHE 104: Mathematics for Chemistry
Brown University Pre-College Programs
Summer 2022–2024
- CSCI 0535: Linear Algebra for Machine Learning
- CECS 0926: Introduction to Machine Learning and AI with Python
- CECS 0931: Data Skills for Bioinformatics
- CEMA 0925: Real-World Networks: Using Mathematics to Understand Complex Systems
Penn State Altoona
2014–2015
- MATH 021: College Algebra I
- MATH 022: College Algebra II
- MATH 211: Intermediate Calculus and Differential Equations
Southern Illinois University Carbondale
2012–2014
- MATH 101: Introduction to Contemporary Mathematics
- MATH 107: Intermediate Algebra
- MATH 109: Trigonometry and Analytic Geometry
- MATH 140: Short Course in Calculus