| Date | Topic | Notes | Reading | Slides |
| Aug 24 | Course overview | Intro | ||
| Aug 26 | Introduction | PDM Chapter 1 | Lecture 1 | |
| Aug 31 | Background and Basics | PDM Appendix (if needed) | Lecture 2 | |
| Sept 2 | Background and Basics (cont) | PDM Chapter 2 | Lecture 3 | |
| Sept 7 | Background and Basics (cont) | Lecture 4 | ||
| Sept 9 | Exploratory Data Analysis (cont) | Due Friday by 5pm: Homework 1 | PDM Chapter 3, R Tutorial | Lecture 5 |
| Sept 14 | Hypothesis Testing | PDM Chapter 4 | Lecture 6 | |
| Sept 16 | Predictive modeling: representation | PDM Chapter 5.1-5.3.1, PDM Chapter 6.1-6.3 | Lecture 7 | |
| Sept 21 | Predictive modeling: learning I | PDM Chapter 7 | Lecture 8 | |
| Sept 23 | Predictive modeling: learning II | PDM Chapter 8 | Lecture 9 | |
| Sept 28 | Predictive modeling: learning II (cont) | PDM Chapter 10 | Lecture 10 | |
| Sept 30 | Class canceled: prof out of town | Due today: Homework 2 (Submit to CS mailroom by 5pm) |
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| Oct 5 | Predictive modeling: evaluation | Due today: Project proposal | Lecture 11 | |
| Oct 7 | Predictive modeling: evaluation (cont) | Lecture 12 | ||
| Oct 12 | No class: October break | |||
| Oct 14 | Class canceled: prof out of town | Evening Midterm: PHYS 203 8-10pm | ||
| Oct 19 | Class canceled: prof out of town | Attend ML seminar on Mon 10:30-11:30am in SCHL B038 or Thurs 12-1pm in LWSN 3102 |
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| Oct 21 | Predictive modeling: pathologies | Lecture 13 | ||
| Oct 26 | Descriptive modeling: representation | PDM Chapter 6.4-6.6 | Lecture 14 | |
| Oct 28 | Information retrieval: Luo Si | Due Friday by 5pm: Homework 3 | Guest Lecture | |
| Nov 2 | Descriptive modeling: learning II | PDM Chapter 9 | Lecture 15 | |
| Nov 4 | Descriptive modeling: learning II | PDM Chapter 5.3.2, 6.7 | Lecture 16 | |
| Nov 9 | Descriptive modeling: inference | Lecture 17 | ||
| Nov 11 | Sergey Kirshner | Guest Lecture | ||
| Nov 16 | Descriptive modeling: evaluation | Due today: Homework 4 | PDM Chapter 13 | Lecture 18 |
| Nov 18 | Pattern mining: learning I | PDM Chapter 13 | Lecture 19 | |
| Nov 23 | Pattern mining: learning II | Lecture 20 | ||
| Nov 25 | No class: Thanksgiving break | |||
| Nov 30 | Anomaly detection I | Lecture 21 | ||
| Dec 1 | Anomaly detection II | Due Dec 6 by 4pm: Homework 5 | Lecture 22 | |
| Dec 7 | KDD lessons | TBD | Lecture 23 | |
| Dec 9 | Final review | Due Dec 15 by 4pm: Final project report | Review |