Week	Day	Date	Topic	Reading	Assigned	Due	Points
1	Tue	9-24-2013	Intro and Review of Probability	Chapter 2	Hmwk1	10-2-13	15
1	Thu	9-26-2013	Statistical Estimation	Chapter 17.1
2	Tue	10-1-2013	Bayes Networks	Chapter 3
2	Thu	10-3-2013	Bayes Networks and Naive Bayes Classifiers		Hmwk2	10-14-13	11
3	Tue	10-8-2013	Markov Networks, Variable Elimination	Chapters 4, 9
3	Thu	10-10-2013	Junction Tree	Chapter 10
4	Tue	10-15-2013	Sampling	Chapter 12	Hmwk 3	10-29-13	10
4	Thu	10-17-2013	Learning
5	Tue	10-22-2013	No class
5	Thu	10-24-2013	Learning (cont.), Structure Learning	Chapter 18
6	Tue	10-29-2013	Expectation-Maximization	Chapter 19	Hmwk 4	11-6-13	14
6	Thu	10-31-2013	Semi-supervised Learning
7	Tue	11-5-2013	SSL and Exam review
7	Thu	11-7-2013	Mid-term Exam
8	Tue	11-12-2013	Exam Review, HMMs
8	Thu	11-14-2013	CS Everywhere
9	Tue	11-19-2013	HMMs (cont), Unsupervised Information Extraction
9	Thu	11-21-2013	Project Design meeting		Project	12-8-13	25
10	Tue	11-26-2013	Language Models: LSI and LDA	Gibbs for LDA
10	Thu	11-28-2013	No class (Thanksgiving)
11	Tue	12-3-2013	Language Models: ngrams and NNLMs	Smoothing Tutorial and paper
11	Thu	12-5-2013	Project Presentations