Course Descriptions

16:640:640 - Experimental Mathematics

Doron Zeilberger


Bayesian Reasoning 

Course Description:

Experimental Mathematics used to be considered an oxymoron, but the future of mathematics is in that direction. In addition to learning the philosophy and methodology of this budding field, students will become computer-algebra wizards, and that should be very helpful in whatever mathematical specialty they are doing (or will do) research in.

We will first learn Maple, and how to program with it. This semester we will learn, from an experimental mathematics point of view, the very important topic of Bayesian Probability, so important in machince learning and data science, as well as algorithmic gambling.

The class takes place in the computer lab at ARC in an IML room.


Handouts and internet resources



Schedule of Sections: