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 

1  
2  
3  
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5  
6  
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9 
May 29th Memorial Day 
Read: Lecture Handout Jun 2nd The Future of Probability 

10 
Read: Lecture Handout Jun 5th CS109 Overview 
Due: PSet #6 Jun 7th Final Review Session 