Coursework

My graduate coursework at CMU mainly focuses on robotics, machine learning, and math and optimization.

Robotics

• 16-350: Planning Techniques for Robotics
• 16-720: Computer Vision
• 16-833: Robot Localization and Mapping
• 16-891: Multi-Robot Planning and Coordination
• 24-677: Linear Control System
• 24-760: Robot Dynamics and Analysis

Machine Learning

• 10-701: Introduction to Machine Learning (PhD)
• 10-703: Deep Reinforcement Learning and Control
• 10-707: Advanced Deep Learning
• 11-785: Introduction to Deep Learning
• 24-787: Machine Learning and Artificial Intelligence for Engineers

Math & Optimization

• 10-725: Convex Optimization
• 21-690: Methods of Optimization
• 24-685: Engineering Optimization
• 24-703: Numerical Methods in Engineering
• 24-704: Probability and Estimation Methods for Engineering Systems
• 36-700: Probability and Mathematical Statistics

Teaching

I served as a Teaching Assistant for the following courses:

• 24-788 (25 Spring): Introduction to Deep Learning
• 24-789 (25 Spring): Intermediate Deep Learning for Engineers
• 24-785 (24 Fall): Engineering Optimization
• 11-785 (20 Spring): Introduction to Deep Learning