Technical courses
** PhD-level, * Graduate-level
| Course | Title | Semester |
|---|---|---|
| EECS E6699 | Topics: Mathematics of Deep Learning** | Spring 2023 |
| IEOR E8100 | High-Dimensional Probability with Applications** | Spring 2023 |
| DROM B9145 | Reliable Statistical Learning** | Spring 2023 |
| STCS GR6701 | Foundations of Graphical Models** | Fall 2022 |
| EEOR E6616 | Convex Optimization** | Spring 2023 |
| MECE E6616 | Robot Learning* | Spring 2022 |
| COMS W4771 | Machine Learning* | Spring 2022 |
| COMS W4774 | Unsupervised Learning* | Fall 2022 |
| COMS W4995 | Geometric Data Analysis* | Spring 2022 |
| COMS W4995 | Applied Machine Learning* | Fall 2023 |
| EEOR E4650 | Convex Optimization for Electrical Engineering* | Fall 2022 |
| APMA E4008 | Advanced Linear Algebra* | Spring 2022 |
| MATH GU4061 | Introduction to Modern Analysis I* | Fall 2022 |
| IEOR E4106 | Stochastic Models* | Fall 2023 |
| STAT GU4205 | Linear Regression Models* | Fall 2023 |
| STAT GU4261 | Statistical Methods in Finance* | Spring 2024 |
| FINC B9339 | Systematic Investment Strategies* | Spring 2024 |
| COMS W4733 | Computational Aspects of Robotics* | Fall 2021 |
| COMS W3261 | Computer Science Theory | Fall 2021 |
| COMS W3251 | Computational Linear Algebra | Fall 2021 |
| COMS W3203 | Discrete Mathematics | Summer 2021 |
| MATH UN2500 | Analysis and Optimization | Spring 2022 |
| IEOR E3658 | Probability for Engineers | Fall 2021 |
| COMS W3157 | Advanced Programming | Spring 2024 |
| CSEE W3827 | Fundamentals of Computer Systems | Spring 2024 |
| COMS W3134 | Data Structures in Java | Spring 2021 |
| APMA E2000 | Multivariable Calculus for Engineering and Applied Science | Fall 2020 |
| COMS W1004 | Introduction to Computer Science and Programming in Java | Fall 2020 |
| PHYS UN1601 | Physics I: Mechanics and Relativity | Fall 2020 |
| PHYS UN1602 | Physics II: Thermodynamics, Electricity, and Magnetism | Spring 2021 |
| PHYS UN1494 | Introduction to Experimental Physics | Spring 2024 |