The class starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. We will then cover many essential concepts in probability theory, including particular probability distributions, properties of probabilities, and mathematical tools for analyzing probabilities. Finally, the last third of the class will focus on data analysis and Machine Learning as a means for seeing direct applications of probability in this exciting and quickly growing subfield of computer science.
The schedule is a rough plan for the quarter. It is subject to change at any time. I will try to keep it accurate up to the current date.
"->" indicates that a lecture spans two sets of lecture notes.
| Week | Monday | Wednesday | Friday |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 | |||
| 4 | |||
| 5 | |||
| 6 | |||
| 7 | |||
| 8 |
3:30-6:30pm, Location TBD August 16th Final Exam |