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Current Teaching

• Advanced Numerical Analysis, MATH 269A, Fall 2024.

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Upcoming Teaching

• Optimization, MATH 164, Winter 2025.

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Past Teaching

• Matrix Analysis for Scientists and Engineers, EC ENGR 205A.
• A First Course on Large-Scale Optimization Methods, MATH 285J.
• Introduction to Programming, COMPTNG 10A.
• Python with Applications, COMPTNG 16.
• Principles of Java Language with Applications, COMPTNG 20A.
• Mathematical Foundations of Deep Neural Networks (SNU)
• Mathematical Machine Learning Theory (SNU)
• Generative AI and Foundation Models (SNU)
• Mathematical and Numerical Optimization (SNU)
• Infinitely Large Neural Networks (SNU)
• Mathematical algorithms I (SNU)
• Mathematical algorithms II (SNU)
• Mathematical Modeling and Simulation (SNU)
• Large-Scale Convex Optimization: Algorithms and Analyses via Monotone Operators (Stanford)
• Convex Optimization (Stanford)