Submissions from 2024
DS 642-1J2: Parallel Computing, David Bader
DS 675-001, 003, 005, 101: Machine Learning, Khalid Bakhshaliyev
DS 340-001: Fundamentals and Principles of Data Science, Jaini Bhavsar
DS 636-101, 103, 105: Data Analytics with R Programming, Jaini Bhavsar
DS 650-001: Data Visualization, Aritra Dasgupta
DS 650-002: Data Visualization, Aritra Dasgupta
DS 680-002: Natural Language Processing, Mengnan Du
DS 680-1J1: Natural Language Processing, Mengnan Du
DS 675-851, 853, 855: Machine Learning, Michael Houle
DS 644-002-004: Introduction to Big Data, Ravneet Kaur
DS 675-1J2: Machine Learning, Ioannis Koutis
DS 677-852: Deep Learning, Ioannis Koutis
DS 636-001, 851, 853: Data Analytics with R Programming, Daming Li
DS 637-101: Python and Mathematics for Machine Learning, Daming Li
DS 637-102: Pythin and Mathematics, Daming Li
DS 669-1J1: Reinforcement Learning, Daming Li
DS 669-102: Reinforcement Learning, Jing Li
DS 636-002: Data Analytics with R Program, Yajuan Li
DS 644-101, 1J1, 851, 853: Introduction to Big Data, Yajuan Li
DS 677-003: Deep Learning, Hai Phan
DS 677-851: Deep Learning, Usman Roshan
DS 677-002: Deep Learning, Mengjia Xu
DS 644-001: Introduction to Big Data, Yijie Zhang
Submissions from 2023
DS 650-001: Data Visualization, Aritra Dasgupta
DS 680-001: Natural Learning Processing, Mengnan Du
DS 636-101: Data Analytics with R Program, Daming Li
DS 789-001: Trustworthy AI, Hai Phan
DS 644-005: Introduction to Big Data, Usman Roshan
DS 677-001: Deep Learning, Guiling Wang
DS 675-005: Machine Learning, Mengjia Xu
