Good teaching is one-fourth preparation and three-fourths theater.
-- Gail Godwin
Courses
COL 864 (Spring'17)
: Graduate course on 'Advanced NLP: Information Extraction, Question Answering, Dialog'.
COL 333/671 (Autumn'16)
: Undergraduate (and Graduate Bridge) course on 'Artificial Intelligence'.
COL 772 (Spring'16)
: Graduate course on 'Natural Language Processing'.
COL 333/671 (Autumn'15)
: Undergraduate (and Graduate Bridge) course on 'Artificial Intelligence'.
CSL 333/671 (Spring'15)
: Undergraduate (and Graduate Bridge) course on 'Artificial Intelligence'.
CSL 772 (Autumn'14)
: Graduate course on 'Natural Language Processing'.
CSL 333/671 (Spring'14)
: Undergraduate (and Graduate Bridge) course on 'Artificial Intelligence'.
CSE P573 (Autumn'12)
: Professional Masters Course on 'Applications of Artificial Intelligence'.
CSE 573 (Spring'12)
: Graduate course on 'Artificial Intelligence'.
CSE 590AI & Yahoo! ML Lunch (Winter'12)
: 'Advanced Tutorials in ML & AI' Seminar Series.
CSE P573 (Winter'11)
: Professional Masters Course on 'Applications of Artificial Intelligence'.
CSE 590AI (Winter'09)
: 'Tutorials in Advanced AI' Seminar Series.
CSE 590AI (Fall'08)
: 'Current Research in AI' Seminar Series.
CSE 590AI (Fall'07)
: 'The Future of AI' Seminar Series.
Lecture Videos
Uninformed Search
Heuristic Search
Local Search
Constraint Satisfaction
Knowledge Representation, Logic and Satisfiability
Advanced Satisfiability
Decision Theory
Markov Decision Processes
Basics of Probability
Bayesian Networks Representation and Semantics
Variable Elimination for Bayesian Networks
Approximate Inference in Bayesian Networks
Learning in Bayesian Networks
Reinforcement Learning
Monte-Carlo Planning
Agents and Wrapup