Courses I have taught (or will teach) are below:

Sem	Course	Title	Topics
F 2025	CMSC 828I	AI Agents and Sequential Decision Making
S 2024	CMSC 116	You and I, and Generative AI
F 2023	CMSC 828I	Trustworthy Machine Learning	Robustness, uncertainty, transparency, fairness, etc.
S 2023	CMSC 421	Artificial Intelligence	Reinforcement learning, belief networks
F 2022	CMSC 848C	Human-AI Interaction	How to design, build, and evaluate AI systems that interact with people
F 2021	CMSC 828Z	Just Machine Learning	Connecting machine learning with theories of justice, rights, and equity
F 2019	CMSC 723	Computational Linguistics I	Knowledge from language, and of language
F 2016	CMSC 421	Artificial Intelligence	Reinforcement learning, belief networks
F 2016	CMSC 828	Reinforcement Learning	Everything there is to know! :)
S 2016	CMSC 726	Machine Learning	Advanced topic in machine learning theory and practice
F 2015	CMSC 422	Machine Learning	Undergraduate, supervised, unsupervised and imitation learning
F 2014	CMSC 723	Computational Linguistics	Morphology, syntax, semantics, discourse
S 2014	CMSC 818	Linguistic Prediction (aka "Bayes in the brain")	understanding linguistic prediction: how the brain does it, and how to model it computationally
S 2013	CMSC 422	Machine Learning	Undergraduate, supervised and unsupervised learning
S 2013	CMSC 828	CL Seminar in Bayesian Nonparametrics	Nonparametric models, inference methods and applications
F 2012	CMSC 723	Computational Linguistics	Morphology, syntax, semantics, discourse
S 2012	CMSC 421	Artificial Intelligence	Reinforcement learning, belief networks
F 2011	CMSC 726	Machine Learning	Supervised and unsupervised learning
F 2011	CMSC 828F	Multilingual Modeling	Modeling and statistics for multilingual analysis/processing
F 2010	CMSC 723	Computational Linguistics	Syntax, semantics, discourse, learning
S 2010	CS 5300	Artificial Intelligence	Reinforcement learning, belief networks
S 2010	CS 7941	Topics in ML	Structured prediction
F 2009	CS 5350	Machine Learning	Supervised and unsupervised learning
F 2009	CS 7941	Topics in ML	TBD
M 2009	CS 7941	Topics in ML	Assorted recent results
S 2009	CS 5300	Artificial Intelligence	Reinforcement learning, belief networks
S 2009	CS 7941	Topics in ML	Theoretical machine learning
F 2008	CS 5350	Machine Learning	Supervised and unsupervised learning
F 2008	CS 7941	Topics in ML	Graphical models
M 2008	CS 7941	Topics in ML	Multitask learning
S 2008	CS 5350	Machine Learning	Supervised and unsupervised learning, reinforcement learning
S 2008	CS 7941	Topics in ML	Kernel methods
F 2007	CS 5964	Applications of NLP	Sequence models of text, machine translation, automatic document summarization
F 2007	CS 7941	Topics in ML	Non-parametric Bayesian methods
M 2007	CS 7941	Topics in ML	Manifold learning
S 2007	CS 5350	Machine Learning	Supervised and unsupervised learning, structured prediction, Bayesian learning

credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous.
last updated on twenty two october, two thousand twenty five.