Teaching
At Purdue University, I teach courses spanning programming, software development, artificial intelligence, machine learning, and cybersecurity. My teaching emphasizes hands-on problem solving, conceptual understanding, and connecting foundational computing concepts with practical applications.
Current & Recent Courses
CNIT 57200 · Artificial Intelligence Applications in Cybersecurity
A graduate course exploring the application of artificial intelligence and machine learning techniques to cybersecurity problems.
CNIT 10500 · Introduction to C Programming
An introductory programming course covering fundamental problem solving and programming concepts using the C language.
CNIT 15501 · Introduction to Software Development Concepts
An introductory software development course using Python, with an emphasis on programming fundamentals, problem solving, and hands-on development.
CNIT 17500 · Visual Programming
An introductory course focused on programming concepts and application development through visual programming environments.
Graduate & Special Topics
TECH 69000-096 · Applied Machine Learning
Graduate-level study of machine learning methods and their application to real-world problems.
TECH 69000-080 · Applied Deep Learning
Graduate-level study of deep learning methods, neural networks, and practical applications.
Selected Teaching History
| Term | Courses |
|---|---|
| Fall 2026 | CNIT 10500 · CNIT 15501 · CNIT 17500 · CNIT 57200 |
| Summer 2026 | CNIT 57200 |
| Fall 2025 | CNIT 10500 · CNIT 15501 · CNIT 17500 |
| 2023–2024 | CNIT 10500 · CNIT 15501 · CNIT 17500 |
| Fall 2022 | CNIT 10500 · CNIT 15501 · CNIT 17500 |
| Spring 2022 | CNIT 10500 · CNIT 15501 · TECH 69000-080 Applied Deep Learning |
| Fall 2021 | CNIT 10500 · CNIT 15501 · TECH 69000-096 Applied Machine Learning |
Course offerings vary by semester.