Computer Science
- Introduction to Artificial Intelligence (Graduate Course)
- Deep Learning
- LLM Independent Study
- Machine Learning Principles
- Design & Analysis of Computer Algorithms
- Principles of Information & Data Management
- Software Methodology
- Systems Programming
- Quantum Computing Seminar
- Discrete Structures
- Principles of Programming Languages
- Computer Architecture
- Data Structures
Data Science
- Information Visualization
- Data Management for Data Science
- Introduction to Data Science
- Data 101
Mathematics
- Mathematical Theory of Statistics
- Mathematical Theory of Probability
- Cryptography
- Graph Theory
- Linear Algebra
- Introduction to Real Analysis
- Introduction to Mathematical Reasoning
- Honors Calculus IV
- Honors Calculus III
Statistics
- Statistical Learning
- Applied Multivariate Analysis
- Regression Methods
- Statistical Quality Control
- Introduction to Computational Statistics
- Statistics II
- Statistics I