[ugrads] Fwd: CS595 - Advanced Scientific Computing in Fall 2018

Adam Denchfield adenchfi at hawk.iit.edu
Thu Jun 28 11:49:14 CDT 2018


Highly recommend the course. Lots of mathematics involved, you'll benefit
if you've taken MATH 477/478, but MATH 350 should suffice (the equivalent
sufficed for me!).

Regards,
*Adam Denchfield*
*Peer Career Coach - Career Services*
Illinois Institute of Technology

*Bachelors of Science in Applied Physics (2018)*
Email: adenchfi at hawk.iit.edu
My LinkedIn <http://www.linkedin.com/in/adamrobertdenchfield> My
ResearchGate Profile <https://www.researchgate.net/profile/Adam_Denchfield>

On Thu, Jun 28, 2018 at 10:48 AM, Michael Pelsmajer <pelsmajer at iit.edu>
wrote:

> This course should appeal to Applied Mathematics students as well (see
> below).
>
> 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: Matthew Bauer <bauerm at iit.edu>
> Date: Fri, Jun 22, 2018 at 7:30 AM
> Subject: CS595 - Advanced Scientific Computing in Fall 2018
> To: <bekytan at iit.edu>, Michael Pelsmajer <pelsmajer at iit.edu>, <
> bzion at iit.edu>, <slaurent at iit.edu>
>
>
> Here is a Fall 2018 CS course that may be of interest to your upper level
> undergraduates and graduate students. Can you advertise please?
> Matt
>
> See http://www.mcs.anl.gov/~hzhang/teach/cs595/
> Thursday 6:25-9:05pm
> Course Description: This course is designed for graduate and upper-level
> undergraduate students in the fields of science and engineering. The
> objective is to introduce the essential numerical algorithmic ideas and
> provide programming practice on advanced scientific computer architecture.
> Students are expected to gain hands-on numerical programming experience on
> state-of-the-art parallel computers. By the end of the course, students are
> required to apply the algorithms and techniques learned in the class to
> projects either in their own field (particularly encouraged) or projects
> suggested by the instructor. Successful course project may lead to summer
> internship at the Argonne National Laboratory.
> Prerequisites: Advanced calculus, linear algebra, background on numerical
> computing. Programming skill.
>
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>
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