[ugrads] Fwd: Special Seminar, Monday, January 30, 2017 - Stasi

Michael Pelsmajer pelsmajer at iit.edu
Fri Jan 27 13:31:02 CST 2017

Hi!  This Monday's talk is the first of a few general interest talks coming
up soon.  I want you to seriously consider coming to the talk this Monday,
for two reason:

One, it's we are considering hiring these people as permanent faculty.  If
you have an opinion afterward, you tell me, and it will be part of the

Two, classes aren't everything.  This is *one of the best chances you will
have* to hear about some nice mathematics outside of class.

Three reasons, actually... pizza!

Best wishes,
Michael J. Pelsmajer, Associate Professor
Associate Chair for Applied Mathematics
Director of Undergraduate Studies for Applied Math
John T. Rettaliata Engineering Center, Room 208A
Department of Applied Mathematics
Illinois Institute of Technology
Chicago, IL 60616

---------- Forwarded message ----------
From: Myrna Walker <mwalke13 at iit.edu>
Date: Fri, Jan 27, 2017 at 10:31 AM
Subject: Special Seminar, Monday, January 30, 2017 - Stasi
To: fac.all at math.iit.edu, ugrads at math.iit.edu, grads <grads at math.iit.edu>
Cc: Gladys Collins <collinsg at iit.edu>, Myrna Walker <mwalke13 at iit.edu>

Dear All,

Please join the Department of Applied Mathematics for a

*Special Seminar* - “This Talk Assumes only Univariate Calculus”

When: Monday, January 30, 2017, 12:45 pm - 1:45 pm

Where: RE 106

*Title: **Finding Structure in Randomness*

*Speaker: Despina Stasi   **Department of Applied Mathematics*

*Illinois Institute of Technology*

Abstract:  In everyday life, we consider randomness as the absence of
pattern, of predictability, of structure. But, in fact, objects generated
at random can have very real structure; random problems can give insights
to the structure of hard instances; and randomness can be harnessed to
design algorithms that can solve problems more efficiently and more simply
than any known deterministic algorithm. This talk will survey some of these
ideas through problems and applications in graph theory, artificial
intelligence, and cryptography.

No prior knowledge in these topics is required.

Myrna Walker

Administrative Assistant


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