Spring 2006:
CS838: Advanced Natural Language Processing, by Jerry Zhu (1:00-2:15 TR, EH 2355)
Spring 2005:
CS730: Nonlinear Programming Algorithms, by Michael Ferris (8:50-9:40 MWF, CS1221)
Spring 2005:
CS515: Introduction to Splines and Wavelets, by Amos Ron (1:15pm, MWF, CS1221)
ECE532: Theory and Applications of Pattern Recognition, by Robert Nowak (1-2:15pm, TH, EH2535)
ECE738: Advanced Digital Image Processing, by Yu Hen Hu (8:50-9:40am, MWF, EH2540)
Fall 2004:
Math/ECE 842: Topics in Applied Algebra, by Nigel Boston
Courses To Consider:
Department of Communication Arts
CA 355: Introduction to Media Production
CA 465: Editing and Post-production for Video and Film
CA 651: Advanced Video Production and Direction
CA 655: Advanced Motion Picture Production
Damon L. Tull
--
Courses Taken:
Stat610: Mathematical Statistics II: Statistical Inference, TA, by Kjell Doksum
ECE901: Statistical Regularization and Learning Theory, by Robert Nowak
Stat609: Mathematical Statistics I, TA, by Kjell Doksum
CS760: Machine Learning, by Jude W. Shavlik
CS779: Rendering Images with Computers, by Stephen Chenney
CS766: Computer Vision, by Charles R. Dyer
CS559: Computer Graphics, by Michael L. Gleicher
CS731: Advanced AI, by C. David Page
CS525: Linear Programming Methods, by Stephen J. Wright
CS719: Network Flows, by Robert R. Meyer
CS712: Finite Difference Methods, by Shi Jin
Stat 840: Statistical Model and Learning with Reproducing Kernels, Splines, and Related Objects, by Grace Wahba
Courses Considered:
Stat992: Statistical Methods in Signal and Image Analysis
Electrical and Computer Engineering
ECE 531: Speech Signal Processing
CS635: Tools and Environments for Optimization
BME/Med Phys 530: Medical Imaging Systems
CS777: Computer Animation
Other Materials:
Graphics:
Java:
Some Logic Programming Software (include PROGOL):
http://www.cs.york.ac.uk/aig/ai/index.html
People working on Bayes Net:
David Heckerman
Bayesian Networks Tutorials: -- Here.
Some tutorials: