Mathematical Structures in Control
Linear Systems
Introduction to Probability and Random Processes
Differential Geometric Methods in Control
Geometric and Analytic Aspects of Optimal Control
Optimization Theory
Real Analysis
Theoretical Machine Learning
Measure Theory
Topological Methods in Control and Data Science
Functional Analysis
Advanced Probability and Random Processes
Introduction to Stochastic Optimization.
Control of Heat Equation.
Statistical Learning and Sequential Prediction.
Optimization Algorithms for Large Scale Machine Learning.