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Course Descriptions

16:640:640 - Experimental Mathematics

Doron Zeilberger

Subtitle: Algorithmic Algebraic Combinatorics

Text: None

Prerequisites: None


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 algebraic combinatorics, and the powerful theory of symmetric functions. This is a beautiful subject for its own sake, and approaching it from the standpoint of computer algebra will make it crystal clear.

In addition to the actual, very important content, students will master the methodology of computer-generated and computer-assisted research that is so crucial for their future.

There are no prerequisites (in particular, no prior knowledge of Maple, or any programming experience, is assumed). Also, no overlap with previous years.

Sections Taught This Semester:

For more information on instructors and sections for this course, please see our Teaching Schedule Page

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Department of Mathematics

Department of Mathematics
Rutgers University
Hill Center - Busch Campus
110 Frelinghuysen Road
Piscataway, NJ 08854-8019, USA

Phone: +1.848.445.2390
Fax: +1.732.445.5530