Teaching Assistant · Intro to Artificial Intelligence
2025 — Present
Assisted in teaching a 3-credit undergraduate AI survey course. The course covered core AI topics and included hands-on Python assignments, projects, and exams.
Course topics
- Search & Optimization — BFS, UCS, A*, local search, CSPs
- Uncertainty & Probabilistic Reasoning — Bayes' Rule, Bayesian networks, Markov models
- Machine Learning — linear/logistic regression, gradient descent, MLPs, CNNs, transformers
- Planning & Decision‑Making — MDPs, reinforcement learning, MCTS
Responsibilities
- Held weekly office hours and supported students one-on-one on assignments and projects.
- Designed and graded programming assignments and exams with the professor and head TA.
- Implemented automated grading helpers and test harnesses to speed up grading.
Impact
Improved student outcomes through targeted support and scalable grading workflows; contributed to project/exam design emphasizing practical understanding.