EECS 940: Theoretic Foundation of Data Analysis

Schedule and Lecture Notes
http://ittc.ku.edu/~jhuan/EECS940_S14






Gree cells denote no class                                                                                     
Class schedule is tentative and is subject to change according to class progress
Slides that appear before class meeting might have errors and the errors will be fixed after class meeting

Week Date Topic Slides Assigned
Due
1 Jan 22
Introduction



2 Jan 29
Laws of Large Number 



3
Feb 5
Maximum Likelihood Estimation



4
Feb 12
AIC, BIC, model selection



5
Feb 19
Statistical Decision Theory


6
Feb 26
Probability Interpretation



7
Mar 5
Linear Regression, linear classification


8
Mar 12
Kernel Machines


9
Mar 19
Spring break



10
Mar 26
PAC and VC


11
Apr 2
Gaussian Process



12
Apr 9
Boosting
 


13
Apr 16
Bayesian
 


14
Apr 23
Student Presentation



15
Apr 30
Student Presentation



16
May 7
Bayesian