| Date | Topic | Notes | Reading | Slides |
| Jan 8 | Course overview | Intro | ||
| Jan 10 | Introduction | Principles of Data Mining, Chapter 1 | Lecture 1 | |
| Jan 15 | Background and basics | Principles of Data Mining, Chapter 2 | Lecture 2 | |
| Jan 17 | Class cancelled | |||
| Jan 22 | Background and basics (cont) | Principles of Data Mining, Chapter 4.1-4.3 | Lecture 3 | |
| Jan 24 | Exploratory data analysis, Introduction to R | HW 1, due Jan 25th | R Basics, R Tutorial | Lecture 4 |
| Jan 29 | Exploratory data analysis (cont) | Principles of Data Mining, Chapter 3.1-3.6 | Lecture 5 | |
| Jan 31 | Predictive modeling: introduction | Principles of Data Mining, Chapter 5.1-5.3.1, 6.1-6.2 | Lecture 6 | |
| Feb 5 | Introduction to python No lecture: Review slides independently TA will hand back HW1 at start of class |
HW 2 due, Data | HW 1 Solutions | Lecture 7 |
| Feb 7 | Midterm 1 | |||
| Feb 12 | Predictive modeling: decision trees | Principles of Data Mining, Chapter 5.4, 6.3.1, 6.3.5-6 | Lecture 8 | |
| Feb 14 | Predictive modeling: search | Principles of Data Mining, Chapter 8.1-8.3.1 | Lecture 9 | |
| Feb 19 | Predictive modeling: evaluation | Principles of Data Mining, Chapter 7.1-7.5 | Lecture 10 | |
| Feb 21 | Predictive modeling: classifiers | HW 3 due | HW 2 Solutions | Lecture 11 |
| Feb 26 | Predictive modeling: classifiers | Principles of Data Mining, Chapter 10.1-3, 10.5-6, 10.8 | Lecture 12 | |
| Feb 28 | Predictive modeling: evaluation/ensembles | Lecture 13 | ||
| Mar 5 | Privacy preserving methods | HW 3 Example Code | Guest Lecture: Chris Clifton |
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| Mar 7 | Predictive modeling: evaluation (cont) | HW 4 due Mar 8 | Midterm 1 Solutions | Lecture 14 |
| Mar 12 | No class | Spring break | ||
| Mar 14 | No class | Spring break | ||
| Mar 19 | Review | Review | ||
| Mar 21 | Midterm 2 | |||
| Mar 26 | Finish Lecture 14 | |||
| Mar 28 | Class cancelled | |||
| Apr 2 | Descriptive modeling | Principles of Data Mining, Chapter 6.4, 9 | Lecture 15 | |
| Apr 4 | Descriptive modeling: learning | Principles of Data Mining, Chapter 8.4 | Lecture 16 | |
| Apr 9 | Class cancelled | |||
| Apr 11 | Descriptive modeling: evaluation | HW 5 due, Data | Lecture 17 | |
| Apr 16 | Social network mining | Guest Lecture: Assefaw Gebremedhin |
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| Apr 18 | Pattern mining | Principles of Data Mining, Chapter 13 | Lecture 18 | |
| Apr 23 | Association rule mining (cont) | Midterm 2 Solutions | ||
| Apr 25 | Final catchup and review | HW 6 due Bonus project due Apr 28 |
Review |