，
COMP3721:
Theory
of Computation [2024F]
，
CSIT5910: Machine
Learning [2024F]
，
MSBD5012:
Machine
Learning [2024F]
，
，
COMP3721:
Theory of Computation [2023F]
，
CSIT5910: Machine Learning [2023F]
，
MSBD5012:
Machine Learning [2023F]
，
COMP
5212: Machine Learning [2023S]
，
COMP3721:
Theory of Computation [2022F]
，
CSIT5910: Machine Learning [2022F]
，
MSBD5012:
Machine Learning [2022F]
，
COMP
5212: Machine Learning [2022S]
，
COMP3721:
Theory of Computation [2021F]
，
CSIT5910: Machine Learning [2021F]
，
MSBD5012:
Machine Learning [2021F]
，
COMP
5212: Machine Learning [2021S]
，
COMP
3721: Theory of Computation [2020F]
，
CSIT 5910: Machine Learning [2020F]
，
MSBD 5012:
Machine Learning [2020F]
，
COMP
5212: Machine Learning [2020S]
，
COMP
3721: Theory of Computation [2019F]
，
MSBD 5012:
Machine Learning [2019F]
，
CSIT 6000G: Machine Learning [2019F]
，
COMP 5213: Unsupervised and Reinforcement
Learning [2019S]
，
CSIT 6000G: Machine Learning [2019S]
，
COMP 3721: Theory of Computation [2018F]
，
MSBD 5012:
Machine Learning [2018F]
，
COMP 5213: Introduction to Bayesian Networks
[2018S]
，
CSIT 6000G: Machine Learning [2018S]
，
COMP 3721: Theory of Computation [2017F]
，
COMP 5213: Introduction to Bayesian Networks
[2017S]
，
CSIT 5220: Reasoning and Decision under
Uncertainty [2017S]
，
COMP 3721: Theory of Computation [2016F]
，
CSIT 5220: Reasoning and Decision under
Uncertainty [2016Su]
，
COMP 2711: Discrete
Mathematical Tools for Computer Science [2016S]
，
COMP 2711: Discrete
Mathematical Tools for Computer Science [2015F]
，
CSIT 5220: Reasoning and Decision under
Uncertainty [2015Su]
，
COMP 3721: Theory of Computation [2015S]
，
COMP 2711: Discrete
Mathematical Tools for Computer Science [2014F]
，
COMP 5213: Introduction to Bayesian Networks
[2014F]
，
CSIT 5220: Reasoning and Decision under
Uncertainty [2014su]
，
COMP 2711: Discrete
Mathematical Tools for Computer Science [2013F]
，
CSIT 5220: Reasoning and Decision under
Uncertainty [2013Su]
，
COMP 2711: Discrete
Mathematical Tools for Computer Science [2013S]
，
COMP 6931A: Probabilistic Models for
Unsupervised Learning [2013S]
，
COMP 5213: Introduction to Bayesian Networks
[2012F]
，
CSIT 5220: Reasoning and Decision under
Uncertainty [2012Su]
，
COMP 2711: Discrete
Mathematical Tools for Computer Science [2012Sp]
，
CSIT 600N: Reasoning and Decision under
Uncertainty [2011Su, 2010Su]
，
COMP 170: Discrete
Mathematical Tools for Computer Science [2011Sp,
2010Sp, 2009Sp]
，
COMP 328: Machine Learning [2010F, 2010Sp, 2009Sp]
，
COMP 538: Introduction to Bayesian Networks
， COMP104: Programming Fundamentals and Methodology
， COMP171: Data Structures and Algorithms
， COMP 201: Java Programming
， COMP 221: Fundamentals of AI
， COMP 271: Design and Analysis of Algorithms
， COMP 272: Theory of Computation
， COMP 327: Pattern Recognition
， COMP 527: Pattern Recognition