Location: 4623 MYR-A • Lectures:M/W 2:00-3:20 pm
| Fall 2016 | Lectures | Topics | HW and Exams due: |
|---|---|---|---|
| October 1 | Lecture 1 | Probability concepts I. | |
| October 3 | Lecture 2 | Probability concepts II. | |
| October 8 | Lecture 3 | Bayesian probability estimates | |
| October 10 | Lecture 4 | Probability calculus and central limit theorem | |
| October 15 | Lecture 5 | Null hypothesis tests I. | |
| October 17 | Lecture 6 | Null hypothesis tests II. | HW I due; HW II. posted |
| October 22 | Lecture 7 | Maximum likelihood method I. | |
| October 24 | Lecture 8 | Maximum likelihood method II. | |
| October 29 | Lecture 9 | Maximum likelihood method III. | |
| October 31 | Lecture 10 | Maximum likelihood method IV. | HW II. due Midterm posted |
| November 5 | Lecture 11 | Bootstrap I. | |
| November 7 | Lecture 12 | Bootstrap II. | |
| November 12 | Veterans Day Holiday | ||
| November 14 | Lecture 13 | Jackknife I. | Midterm due HW III. posted |
| November 19 | Lecture 14 | Jackknife II. (Jackknife/Bootstrap loose ends) | |
| November 21 | Lecture 15 | Monte Carlo practicum | |
| November 26 | Lecture 16 | Markov Chain Monte Carlo I. | |
| November 28 | Lecture 17 | Markov Chain Monte Carlo II. | HW III. due |
| December 3 | Lecture 18 | Markov Chain Monte Carlo III. | |
| December 5 | Lecture 19 | Final Project: machine learning |
| December 14 2:00p-5:00p | Final project presentations |
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