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

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

Fall 2018

  • CIS 120 - Programming Languages and Techniques I (Program Design)
  • CIS 160 - Mathematical Foundations of Computer Science
  • CIS 194 - Introduction to Haskell
  • MATH 114 - Multivariate Calculus
  • WRIT 073 - Shaped by the Internet
  • THAR 120 - Introduction to Acting

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