Teaching
An overview of my teaching involvement as a Teaching Assistant and Teaching Fellow, focused on supporting learning and engagement in technical courses
This page highlights the courses I have been involved in, providing details on the main instructor, course title, course description, and the corresponding term and date
Upcoming Events
2026
Applied Machine Learning
Undergraduate Prerequisites CS111 (CS112 recommended); CS132 or MA242 (or EK103); CS237 or MA581 ( or EK381.) CS365 is recommended. - Covers practical skills in machine learning including techniques for clustering, classification, regression, feature selection, and model compression. Emphasizes hands-on application of methods via programming on real- world datasets.
Artificial Intelligence
Undergraduate Prerequisites (CASCS112 & CASCS132) - Introduction to computer systems that exhibit intelligent behavior, in particular, perceptual and robotic systems. Topics include human computer interfaces, computer vision, robotics, game playing, pattern recognition, knowledge representation, planning.
2025
Artificial Intelligence
Undergraduate Prerequisites (CASCS112 & CASCS132) - Introduction to computer systems that exhibit intelligent behavior, in particular, perceptual and robotic systems. Topics include human computer interfaces, computer vision, robotics, game playing, pattern recognition, knowledge representation, planning.
Artificial Intelligence
Undergraduate Prerequisites (CASCS112 & CASCS132) - Introduction to computer systems that exhibit intelligent behavior, in particular, perceptual and robotic systems. Topics include human computer interfaces, computer vision, robotics, game playing, pattern recognition, knowledge representation, planning.