18.338 Eigenvalues of Random Matrices (Fall 2019)


Lecturer: Alan Edelman

Office Hours: N/A

Lectures: MW 2:30-4pm in 4-261

Email: edelman AT math.mit.edu

This page is deprecated since 2019 Fall, please go to the mitmath github site for the fall semester of 2021: https://github.com/mitmath/18338


We focus on the mathematics of random matrices - from the finite to the infinite, and beyond.

Our emphasis will be on interplay between the varying mathematical tools that have come to play in the modern understanding of random matrix theory. We will also discuss applications of random matrix techniques to problems in engineering and science.

Additional topics will be decided based on the interests of the students. No particular prerequisites are needed though a proficiency in linear algebra and basic probability will be assumed. A familiary with numerical computing languages such as Julia, MATLAB, or Mathematica may be useful .... our primary focus will be Julia and some Mathematica.

This is a graduate course that is intended to be flexible so as to cover the backgrounds of different students. Generally grading will be based on satisfactory completion of problem sets and projects or equivalents.


[09.01.2019] For all class materials go to the mitmath github site

[08.24.2019] Course Piazza is up, go to Here to enroll!