Teaching at Yale

Title	Instructor	Location and Time
S&DS 150 Data Science Ethics	Elisa Celis	TTh 1-2:15 at WLH 203
CPSC 663 Deep Learning Theory and Applications	Smita Krishnaswamy	TTh 4:00-5:15 at DL 220
S&DS 523 YData: An Introduction to Data Science	John Lafferty	MWF 10:30-11:20 at LUCE 101
S&DS 571 YData: Text Data Science: An Introduction	John Lafferty	TTH 9:25-11:15 at LC 208
STAT 551 Stochastic Processes	Sahand Negahban	MW 1.00-2.15 at WLH 119
STAT 669 Statistical Learning Theory	Sahand Negahban	T 2.30-5:00 at HLH24 107
CPSC 577 Natural Language Processing	Dragomir Radev	TT 1.00-2.15 at LORIA 260
CPSC 570 Artificial Intelligence	Brian Scassellati	MWF 10:30-11:20 at DAVIES AUD
CPSC 529 Introduction to Human-Computer Interaction	Marynel Vazquez	MW 2:30-3:45 at HLH17 115
CPSC 645 Topics in Theoretical Machine Learning	Nisheeth Vishnoi	M 1:30-3:20 at AKW 300
CPSC 576 Advanced Computational Vision	Steven Zucker	TTH 2.30-3.45 at AKW 000

Title	Instructor	Location and Time
CPSC 202 Mathematical Tools for Computer Science	Dana Angluin	TTH 1.00-2.15 at DL 220
CB&B 555 Machine Learning for Biology	Smita Krishnaswamy	TTh 11.35-12.50 at ML 211
S&DS 565 Applied Data Mining and Machine Learning	John Lafferty	TTH 9.00-10.15 at LORIA 250
S&DS 679 High-Dimensional Statistical Estimation	Sahand Negahban	T 2.30-5.00 at HLH24 107
CPSC 677 Advanced Natural Language Processing	Dragomir Radev	TT 4.00-5.15 at AKW 200
CPSC 573 Intelligent Robotics Laboratory	Brian Scassellati	MWF 10:30-11:20 at AKW 200
CPSC 662 Spectral Graph Theory	Daniel Spielman	MW 2.30-3.45 at WTS A60
S&DS 600 Advanced Probability	Sekhar Tatikonda	TT 2:30-3:45 at ML 211
CPSC 659 Building Interactive Machines	Marynel Vazquez	MW 1.00-2.15 at AKW 200
CPSC 575 Computational Vision and Biological Perception	Steven Zucker	MW 2.30-3.45 at DL 220

Title	Instructor	Location and Time
CPSC 568 Computational Complexity	Dana Angluin	TTH 2.30-3.45 at AKW 000
CPSC 745 Advanced Topics in Machine Learning and Data Mining	Guy Wolf and Smita Krishnaswamy	W 2.30-5.15 at WTS A60
S&DS 668 Nonparametric Estimation	John Lafferty	MW 11.35-12.50 at ML 211
STAT 551 Stochastic Processes	Sahand Negahban	MW 1.00-2.15 at ML 211
STAT 669 Statistical Learning Theory	Sahand Negahban	MW 2.30-3.45 at HLH24 107
CPSC 577 Natural Language Processing	Dragomir Radev	TT 1.00-2.15 at LORIA 260
CPSC 366 Intensive Algorithms	Daniel Spielman	TT 2.30-3.45 at WTS A53
CPSC 576 Advanced Computational Vision	Steven Zucker	TTH 2.30-3.45 at AKW 400

Title	Instructor	Location and Time
CPSC 323 Systems Programming and Computer Organization	Dana Angluin	MW 1.00-2.15 at DL 220
AMTH 247 Partial Differential Equations	Ronald Coifman	TTh 2.30-3.45 at LOM 200
AMTH 260 Basic Analysis in Function Spaces	Ronald Coifman	TTh 2.30-3.45 at LOM 201
ENAS Theoretical Challenges in Network Science	Amin Karbasi	TTh 1.00-2.15 at HLH17
CPSC 553 Machine Learning for Biology	Smita Krishnaswamy	TTh 9.00-10.15 at AKW 200
S&DS 565 Applied Data Mining & Machine Learning	John Lafferty	TTh 9.00-10.15 at WLH 201
CPSC 570 Artificial Intelligence	Dragomir Radev	TT 4.00-5.15 at DAVIES AUD
S&DS 630 Optimization Techniques	Sekhar Tatikonda	TT 1.00-2.15 at WLH 119
CPSC 575 Computational Vision and Biological Perception	Steven Zucker	MW 2.30-3.45 at ML 211

Title	Instructor	Location and Time
CPSC 201 Intro to Computer Science	Dana Angluin	MWF 11.35-12.25 at DL 220
AMTH 247 Partial Differential Equations	Ronald Coifman	TTh 2.30-3.45 at LOM 200
MATH 708 Introduction to Harmonic Analysis	Ronald Coifman	TTh 11.35-12.50 at DL 431
CPSC 745 Advanced Topics in Machine Learning and Data Mining	Guy Wolf, Alexander Cloninger, Smita Krishnaswamy	W 2.30-5.15 at AKW 307
STAT 551 Stochastic Processes	Sahand Negahban	MW 1.00-2.15 at WLH 208
STAT 669 Statistical Learning Theory	Sahand Negahban	MW 2.30-3.45 at HLH24 107
CPSC 577 Natural Language Processing	Dragomir Radev	TT 1.00-2.15 at LORIA 250
CPSC 365 Design & Analysis of Algorithms	Daniel Spielman	TT 2.30-3.45 at DL 220
AMTH 437 Optimization Techniques	Sekhar Tatikonda	TT 1.00-2.15 at WLH 117