Week	Day	Date	Topic	Reading	Assigned	Due	Points
1	Tue	9-23-2014	Intro and Review of Probability	Chapter 2	Hmwk1	10-1-13	15
1	Thu	9-25-2014	Statistical Estimation	Chapter 17.1
2	Tue	9-30-2014	Bayes Networks	Chapter 3
2	Thu	10-2-2014	Bayes Networks and Unsupervised Information Extraction		Hmwk2	10-15-13	11
3	Tue	10-7-2014	UIE (cont.) Naive Bayes Classifiers	Chapters 4, 9
3	Thu	10-9-2014	Markov Networks	Chapter 10
4	Tue	10-14-2014	Variable Elimination
4	Thu	10-16-2014	Junction Tree		Hmwk 3	10-27-13	10
5	Tue	10-21-2014	Sampling	Chapter 12
5	Thu	10-23-2014	Learning	Chapter 17.1-17.4
6	Tue	10-28-2014	Learning (cont.)
6	Thu	10-30-2014	Learning (cont.) Structure Learning	Chapter 18
7	Tue	11-4-2014	Structure Learning (cont.), Expectation-Maximization	Chapter 19.1, 19.2
7	Thu	11-6-2014	EM (cont.), Pre-Exam Review
8	Tue	11-11-2014	Mid-term Exam
8	Thu	11-13-2014	Post-Exam Review and Project Design meeting		Project	12-8-13	25
9	Tue	11-18-2014	Semi-supervised Learning		Hmwk 4	11-25-13	14
9	Thu	11-20-2014	HMMs	Chapter 6
10	Tue	11-25-2014	Language Models: ngrams	Smoothing Tutorial and paper
10	Thu	11-27-2014	No class (Thanksgiving)
11	Tue	12-2-2014	Language Models: LSI and LDA	Gibbs for LDA
11	Thu	12-4-2014	Final Project Presentations