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

Sem	Course	Title	Topics
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 two april, two thousand twenty four.