Last Update: Oct. 30, 2024
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, Quantum computing and algorithmic graph theory. People who already took previous editions of this class are welcome to take it again, since except for the basics, there is very little overlap with previous years.
This class is suitable for graduate students in other departments, and the software development skills learned will be useful for doing any quantitative research. Very smart advanced undergraduates are also welcome. In particular, the methods learned should be applicable almost everywhere.