Week	Day	Date	Vacations and/or cancellations	Book chapter	Lecture material	assignments, quizzes and presentations	relevant assignment content
				(Witten unless otherwise stated)
1	Mon	27-Aug		4.1	General intro, 1R		1a. Self-contained program implementing 1R on nominal weather data set
	Thu	30-Aug		4.2	Naïve Bayes		2a. Self-contained program implementing 1R and naïve Bayes on nominal weather data and contact lens data
2	Mon	3-Sep		4.3; Alpaydin 9.1, 9.2, 9.2.1	Simple decision trees	assignment 1 due	3.1 decision stumps
	Thu	6-Sep			Group discussion of design for assignment 2 (naïve Bayes classifier implementation)	quiz 1 (1R & naïve Bayes)
3	Mon	10-Sep		4.7	Instance-based learning		3.2 apply knn to iris data using weka; 3.3 comment on weka's IB1 implementation
	Thu	13-Sep		5 (5.3, 5.6, 5.7, 5.8)	Credibility (cross validation, ROC curves)	assignment 2 due	3.2 use cross-validation in applying knn to iris data
4	Mon	17-Sep		10 & 13	Students work through Weka tutorials on their own and/or work on homework
	Thu	20-Sep		6.1	Decision trees revisited (especially C4.5)	quiz 2 (Simple decision trees, instance based learning)
5	Mon	24-Sep			Catchup and homework session
	Thu	27-Sep		Alpaydin 3, Witten 6.7	Bayesian decision theory and Bayesian networks	assignment 3 due
6	Mon	1-Oct		Alpaydin 3, Witten 6.7	Bayesian decision theory and Bayesian networks
	Thu	4-Oct			discuss "Detecting Spam Web Pages through Content Analysis", by Ntoulas, Najork, Manasse, and Fetterly	presentations
7	Mon	8-Oct			Catchup and homework session	rough draft of assignment 4 due
	Thu	11-Oct			quiz then discussion with web spam researchers	quiz 3 (Credibility, cross validation, decision tree pruning)
8	Mon	15-Oct	Vacation -- fall pause
	Thu	18-Oct		7.1, 7.2, Alpaydin 6.2	Attribute selection, discretization	assignment 4 due
9	Mon	22-Oct		7.3, Alpaydin 6.3	PCA
	Thu	25-Oct			discuss "Irrelevant Features and the Subset Selection Problem", by John, Kohavi, and Pfleger	presentations
10	Mon	29-Oct			making a new Weka classifier	email project ideas
	Thu	1-Nov			Preliminary project discussion	quiz 4 (Bayesian decision theory, Bayesian networks, attribute selection, discretization, PCA)
11	Mon	5-Nov		Alpaydin 15.4, 15.5; W&F 7.5	bagging and boosting
	Thu	8-Nov		Alpaydin 13	Hidden Markov models	rough draft of assignment 5 due
12	Mon	12-Nov		Alpaydin 13	Hidden Markov models	interim final project report
	Thu	15-Nov		Alpaydin 13	Hidden Markov models	assignment 5 due
13	Mon	19-Nov			project discussions	interim final project report
	Thu	22-Nov	Vacation -- Thanksgiving
14	Mon	26-Nov			work on projects	interim final project report
	Thu	29-Nov			work on projects
15	Mon	3-Dec			work on projects	substantial draft of final project due (and the usual interim report)
	Thu	6-Dec			work on projects
16	Sat	15-Dec			Project presentations	Project presentations and final reports due