[ugrads] Fwd: cs595: Advanced Scientific Computing

Fred J. Hickernell fred at math.iit.edu
Thu Jul 26 00:27:40 CDT 2012

Dear students,

Take a look at this course.  Several students from our department have taken it in the past:  Lan Jiang, Yiou Li, Mike McCourt, Yizhi Zhang, Xuan Zhou, and others, and they have found it quite helpful.

Best regards,

Begin forwarded message:

> From: Hong Zhang <hzhang at mcs.anl.gov>
> Subject: cs595: Advanced Scientific Computing
> Date: July 25, 2012 10:25:26 AM CDT
> To: "Fred J. Hickernell" <fred at math.iit.edu>
> Cc: "Alexander J. Flueck" <flueck at iit.edu>, Matthew Bauer <bauerm at iit.edu>, Xiaofan Li <lix at iit.edu>, Ali Cinar <cinar at iit.edu>, Hong Zhang <HZhang at mcs.anl.gov>
> Dear colleagues,
> If your students (graduate or upper-level undergraduate)
> are interested in taking CS595,
> the Advanced Scientific Computing (http://www.mcs.anl.gov/~hzhang/teach/cs595/),
> please encourage them enroll the course.
> This course provides hands-on programming experience on parallel computers,
> and is only offered once every two years.
> Several former students did excellent research projects from this course,
> landed summer interns or postdocs at the Argonne National Laboratory.
> Best,
> Hong Zhang
> Research professor, CS Dept., IIT
> Software Developer, Math and Computer Science Div., ANL
> ----------------------------------------------------------
> CS 595: Advanced Scientific Computing, Thur 6:25-9:05pm 
> This course is 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. The course contains following subjects:
> - Overview of parallel computing.
> - Parallel and distributed numerical computation.
> - Numerical iterative techniques for solving large sparse systems.
> - Numerical software design, analysis, implementation and performance evaluation, including discussions on the object-oriented programming techniques.
> 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.
> Prerequisite: Advanced calculus, linear algebra, background on numerical computing. Programming skill.

Fred J. Hickernell, Professor and Chair
Department of Applied Mathematics, Illinois Institute of Technology
E1 Bldg Rm 208, 10 West 32nd Street, Chicago, IL 60616
Email: fred at math.iit.edu, Web: www.iit.edu/~hickernell
Office Phone: 1 312 567 8983, Office Fax: 1 312 567 3135
Cell Phone: 1 630 696 8124

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