Date	Topic	Notes	Reading	Slides
Aug 21	Course overview			Intro
Aug 23	Introduction		PDM Chapter 1	Lecture 1
Aug 28	Background and Basics		PDM Appendix (if needed)	Lecture 2
Aug 30	Background and Basics (cont)		PDM Chapter 2	Lecture 3
Sept 4	Background and Basics (cont)			Lecture 4
Sept 6	Class cancelled	Due Sept 7 (midnight): Homework 1
Sept 11	Exploratory Data Analysis		PDM Chapter 3, R Tutorial	Lecture 5
Sept 13	Hypothesis Testing		PDM Chapter 4 Experimental Design	Lecture 6
Sept 18	Hypothesis Testing (cont)		PDM Chapter 5.1-5.3.1, 6.1-6.3	Lecture 7
Sept 20	Predictive modeling: intro	Due Sept 23 (midnight): Homework 2	PDM Chapter 7	Lecture 8
Sept 25	Predictive modeling		PDM Chapter 8	Lecture 9
Sept 27	Class cancelled for MLSS seminar	MLSS seminar: Nitesh Chawla LWSN 3102A/B 12-1pm	PDM Chapter 10
Oct 2	Predictive modeling (cont)			Lecture 10
Oct 4	Search/Evaluation		Analysis of ML Expts	Lecture 11
Oct 9		No class: October break
Oct 11	Search/Evaluation (cont)	Due Oct 12 (midnight): Homework 3
Oct 16	Review Q&A with Philip
Oct 18	Evaluation (cont)	Evening Midterm: MATH 175, 8-10pm		Lecture 12
Oct 23	Evaluation (cont)			Lecture 13
Oct 25	Class cancelled for MLSS seminar	MLSS seminar: Ruslan Salakhutdinov LWSN 3102A/B 12-1pm
Oct 30	Predictive modeling wrapup	Due Oct 28 (midnight): Homework 4 Step1, Step2, Step3	PDM Chapter 6.4-6.6	Lecture 13 (cont)
Nov 1	Pathologies and descriptive modeling		PDM Chapter 9	Lecture 14
Nov 6	Class cancelled
Nov 8	Descriptive modeling (cont)			Lecture 15
Nov 13	Descriptive modeling (cont)	Due today: Homework 5
Nov 15	Descriptive modeling evaluation			Lecture 16
Nov 20	Pattern mining		PDM Chapter 5.3.2, 6.7	Lecture 17
Nov 22		No class: Thanksgiving break
Nov 27	Pattern mining (cont)		PDM Chapter 13	Lecture 18
Nov 29	Pattern mining (cont)	Due Nov 30 (midnight): Homework 6		Lecture 19
Dec 4	Anomaly Detection			Lecture 20
Dec 6	Final review	Due Dec 7: Homework 7		Final Review