Coursework

University Courses

Computer Science

CSC207: Software Design (Lindsey Shorser)
CSC311^‡: Introduction to Machine Learning (Roger Grosse)
CSC413^‡: Neural Networks and Deep Learning (Jimmy Ba)
CS6310^‡: Software Architecture and Design (Mark Moss)
CS7646^‡: Machine Learning for Trading (David Joyner)

Statistics

STA257: Probability and Statistics I (Katherine Daignault)
STA261: Probability and Statistics II / Statistical Inference (Robert Zimmerman)
STA347: Probability (Gun Ho Jang)

Mathematics

MAT137: Calculus with proofs (Qin Deng)
MAT223: Linear Algebra I (Zachary Wolske)
MAT224: Linear Algebra II (Nicholas Hoelll)
APM236: Linear Optimization (Jonathan Korman)
MAT237: Multivariable Calculus (Zachary Wolske)
MAT244: Introduction to Ordinary Differential Equations (Victor Ivrii)
MAT246: Abstract Mathematics (Maxence Mayrand)
MAT301: Groups and Symmetries (Vitali Kapovitch)
MAT315: Introduction to Number Theory (Mehmet Eren Durlanık)
MAT334: Complex Variables (Stanley Yao Xiao)
MAT337: Introduction to Real Analysis (Regina Rotman)
APM462: Nonlinear Optimization (Jonathan Korman)

Philosophy & Cognitive Science & Psychology

COG250: Cognitive Science (John Vervaeke)
COG402: Seminar in Cognitive Science (John Vervaeke)
PHL245: Modern Symbolic Logic (Alex Koo)
PHL342: Minds & Machines (James John)
APM306: Mathematics and Law (Nicholas Derzko)
HPS200: Science and Values (Yiftach Fehige)
PSY240: Introduction to Abnormal Psychology (Simone Walker
PSY270: Introduction to Cognitive Psychology (Katherine Duncan)
PSY290: Physiological Psychology (Junchul Kim)
PSY493^‡: Cognitive Neuroscience (Jessica Ann Hughes)

Coursera & Bootcamps

^‡: graduate level.