Courses
Here’s a list of courses I have taken, arranged by semester. Courses numbered 500 and above are graduate-level courses. Feel free to email me for comments on any of them.
Online Courses
- Machine Learning
- Convolutional Neural Networks for Visual Recognition (CS 231n)
- Deep Reinforcement Learning (CS 285)
- Introduction to Classical Music
- Digital Photography
Spring 2022
- CIS 398 - Quantum Computer
- CIS 550 - Database & Information Systems
- BE 521 - Brain-Computer Interface
- MATH 361 - Real Analysis II
- FNAR 340 - Digital Photography
Fall 2021
- CIS 505 - Distributed Systems
- ESE 530 - Theory of Probability
- MATH 360 - Real Analysis I
- STAT 433 - Stochastic Processes
- PHIL 281 - Philosophy of Love and Sex
Spring 2021
- CIS 471 - Computer Organization and Design
- CIS 530 - Natural Language Processing
- NETS 412 - Algorithmic Game Theory
- PHYS 585 - Theoretical and Computational Neuroscience
- EAS 203 - Engineering Ethics
Fall 2020
- CIS 380 - Operating System
- CIS 680 - Vision and Learning
- ESE 546 - Principles of Deep Learning
- STAT 991 - Optimization in Machine Learning
- PSYC 111 - Perception
Spring 2020
- CIS 320 - Introduction to Algorithms
- CIS 341 - Compilers
- CIS 350 - Software Engineering
- CIS 580 - Machine Perception
- MATH 314 - Advanced Linear Algebra
- STAT 442 - Bayesian Analysis
Fall 2019
- CIS 240 - Introduction to Computer Systems
- CIS 520 - Machine Learning
- CIS 581 - Computer Vision
- ESE 210 - Dynamic Systems
- STAT 431 - Statistical Inference
- PSYC 170 - Social Psychology
Spring 2019
- CIS 121 - Programming Languages and Techniques II (Algorithms and Data Structures)
- CIS 262 - Automata, Computability, and Complexity
- PHYS 364 - Laboratory Electronics (Highly Recommended)
- MATH 240 - Linear Algebra
- STAT 430 - Probability
