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 subject to change by the management at any time.

Week | Monday | Wednesday | Friday |
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1 | |||

2 | |||

3 | |||

4 | |||

5 | |||

6 |
Midterm: Tuesday, Oct 30th
Read: Chapter 7.3-7.4 Oct 29th 16: Great Expectations |
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7 | |||

8 | |||

9 |
Nov 19th ThanksgivingNo class |
Nov 21st ThanksgivingNo class |
Nov 23rd ThanksgivingNo class |

10 | |||

11 |
Due: PSet #6
Final: Dec 12th 3:30-6:30pm Dec 7th Dead DayNo class |