| Course Number | Title | Grade |
|---|---|---|
| CS 285 | Deep Reinforcement Learning, Decision Making, and Control | A |
| CS 270 | Combinatorial Algorithms and Data Structures | A+ |
| CS 189 | Introduction to Machine Learning | A+ |
| CS 170 | Efficient Algorithms and Intractable Problems | A+ |
| CS 162 | Operating Systems and System Programming | A |
| EECS 127 | Optimization Models in Engineering | A+ |
| EECS 126 | Probability and Random Processes | A+ |
| EE 120 | Signals and Systems | A+ |
| Stat 157 | Forecasting | A+ |
| CS 70 | Discrete Mathematics and Probability Theory | A+ |
| CS 61C | Great Ideas of Computer Architecture (Machine Structures) | A+ |
| CS 61B | Data Structures | A+ |
| CS 61A | The Structure and Interpretation of Computer Programs | A+ |
| EECS 16B | Designing Information Devices and Systems II | A+ |
| EECS 16A | Designing Information Devices and Systems I | A |
| Physics 7B | Physics for Scientists and Engineers | A |