Courses

Courses

Course Number
Course Name
Instructor
CS221 Artificial Intelligence: Principles and Techniques Liang/Sadigh/Charikar
CS229 Machine Learning Dror/Ng/Ma/Re
CS229A Applied Machine Learning Ng
CS229T Statistical Learning Theory Ma
CS230 Deep Learning Ng/Katanforoosh
CS236 Deep Generative Models Ermon
CS234 Reinforcement Learning Brunskill
CS332 Advanced Survey of Reinforcement Learning Brunskill
CS224W Social and Information Network Analysis Leskovec/Adamic
CS246 Mining Massive Data Sets Leskovec
EE377 Statistics and Information Theory Duchi
CS124 From Languages to Information Jurafsky
CS224N Natural Language Processing with Deep Learning Manning
CS224U Natural Language Understanding MacCartney / Potts
CS276 Information Retrieval and Web Search Manning
CS131 Computer Vision: Foundations and Applications Niebles/Krishna/Li
CS231A Computer Vision: From 3D Reconstruction to Recognition Savarese
CS231B The Cutting Edge of Computer Vision Li
CS231N Convolutional Neural Networks for Visual Recognition Li/Karpathy/ Johnson
CS331A Advanced Reading in Computer Vision Li
CS331B Representation Learning in Computer Vision Savarese
CS348A Computer Graphics: Geometric Modeling and Processing Guibas
CS223A Introduction to Robotics Khatib
CS225A Experimental Robotics Khatib
CS326 Topics in Advanced Robotic Manipulation Bohg
CS327A Advanced Robotic Manipulation Khatib
CS333 Safe and Interactive Robotics Sadigh
Principles of Robotic Autonomy Pavone
AA203 Introduction to Optimal Control and Dynamic Optimization Pavone
CS151 Logic Programming Genesereth
CS157 Computational Logic Genesereth
CS257 Logic and Automated Reasoning Icard
CS227B General Game Playing Genesereth
CS228 Probabilistic Graphical Models: Principles and Techniques Ermon
CS323 Automated Reasoning: Theory and Applications Ermon
CS361 Introduction to Multidisciplinary Design Optimization Kochenderfer
CS238 Decision Making Under Uncertainty Kochenderfer
CS239 Sequential Decision Making Kochenderfer
CS224W Social and Information Network Analysis Leskovec / Adamic
CS246 Mining Massive Data Sets Leskovec
CS273A A Computational Tour of the Human Genome Batzoglou / Bejerano
CS273B Deep Learning in Genomics and Biomedicine Batzoglou / Kundaje
CS279 Computational Biology: Structure and Organization of Biomolecules and Cells Dror
CS262 Computational Genomics Batzoglou
CS371 Computational Biology in Four Dimensions Dror
CS373 Statistical and Machine Learning Methods for Genomics Kundaje
CS374 Algorithms in Biology Batzoglou
CS522 Seminar in Artificial Intelligence in Healthcare Ng / Dror
CS205L Continuous Mathematical Methods with an Emphasis on Machine Learning Fedkiw
CS204 Computational Law Genesereth
CS325B Data for Sustainable Development Ermon/
Lobell/
Burke
CS181 Ethics, Policy, and Technology Reich/
Sahami/
Weinstein
CS428 Probabilistic Models of Cognition Goodman
CS375 Large Scale Neural Networks for Neuroscience Yemins