CoSMaL Relevant Classes

Name	Professor	Description

COGS 200 - Cognitive Science Seminar	Various	Topics vary greatly by quarter, ML related topics not unusual
COGS 202 - Computational Models of Cognition	Rik Belew	This course surveys the development of symbolic and connectionist models of cognition.
COGS 241 - Statistical Inference and Data Analysis	Virginia de Sa	Statistical inference, hypothesis testing, model fitting, data analysis
CSE 250A - Principles of AI: Probabilistic Reasoning and Decision-Making	Lawrence Saul	An introductory graduate (or advanced undergraduate) course on probabilistic methods for reasoning and decision-making under uncertainty.
CSE 250b - Introduction to Machine Learning	Charles Elkan	Basic classifiers, generalization, VC bounds, generative models, support vector machines, boosting
CSE 252C - Selected Topics in Vision & Learning	Serge Belongie	Object detection and recognition; visual category recognition; dataset issues; feature detection and description; object models; statistical pattern recognition based methods.
CSE 252a - Computer Vision I	David Kriegman	Introduction to computer vision - Feature detection, image segmentation, motion estimation, object recognition, and 3D shape reconstruction
CSE 252b - Computer Vision II	Serge Belongie	Structure from motion, projective geometry, interest point detection, feature matching, camera calibration
CSE 252c - Selected Topics in Vision and Learning	Serge Belongie	A graduate seminar devoted to recent research on pattern recognition and computer vision.
CSE 253 - Neural Networks	Gary Cottrell	Neural networks and statistical machine learning
CSE 254 - Machine Learning	Sanjoy Dasgupta	A graduate seminar devoted to recent research on AI learning methods and applications
CSE 256 - Statistical Natural Language Processing	Gary Cottrell	Modern statistical approaches to natural language processing
CSE 258a - Connectionist Natural Language Processing	Gary Cottrell	Connectionist models, cognitive processes and models
CSE 291 - Topics in CSE: Active Learning	Yoav Freund	Co-training, active learning, semi-supervised learning, proper experimental design
CSE 291 - Topics in CSE: Learning Theory I	Sanjoy Dasqupta	Covers a broad range of learning theory
CSE 291 - Topics in CSE: Online Learning	Yoav Freund	Online prediction methods
CSE 291 - Topics in High Dimensional Data Analysis	Lawrence Saul	An advanced graduate seminar in statistical methods for dimensionality reduction, feature selection, matrix factorization, and distance metric learning.
CSE 291 - Topics in CSE: Topics in Unsupervised Learning	Sanjoy Dasqupta	Current topics in unsupervised learning
ECE 270 - Neurocomputing	Robert Hecht-Nielsen	Neurocomputing
ECE 271A - Statistical Learning I	Nuno Vasconcelos	Statistical learning theory
ECE 271B - Statistical Learning II	Nuno Vasconcelos	Discriminative learning theory
ECE 275A - Parameter Estimation I	Kenneth Kretz-Delgado	Parameter estimation
ECE 275B - Parameter Estimation II	Kenneth Kretz-Delgado	Parameter estimation
ECE 287A - Convex Optimization and Applications	Gert Lanckriet	Convex Optimization and Applications
LIGN 274 - Computational Psycholinguistics	Roger Levy	How humans learn, represent, comprehend, and produce language, studied from a computational perspective.

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