TEES

Information Systems & Sensors


February 15, 2017

Spring 2017: Python for Computational Science and Engineering

The Python for Computational Science and Engineering Course covers basic to intermediate topics in scientific programming using Python. Topics include basic language usage, basic object oriented programming, numerical analysis, and basic visualization. Prerequisites: Unix/Linux skills; Intro to Ada course; Ada account.

Location: HPRC Student Computing Center (SCC), Room 4.210F

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February 22, 2017
High Performance Research Computing

Spring 2017: A Crash Course of Fundamental Numerical Methods

Covers fundamental numerical methods that are most commonly used in computational science and engineering. Topics include linear and non-linear systems, integrals, approximation, and ordinary and partial differential equations. Introduces some of the popular open source numerical libraries.

Location: ETB 1006

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April 5, 2017
High Performance Research Computing

Spring 2017: Parallel Programming with MPI

Covers code parallelization based on the MPI message passing and distributed memory model. It uses interactive and batch examples. This is a basic to intermediate level course. Prerequisites: Unix/Linux skills, the Intro. to Ada course, and a working knowledge of C/C++ or FORTRAN; Ada account.

Location: Student Computing Center (SCC), Room 4.210F

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April 19, 2017
High Performance Research Computing

Spring 2017: Introduction to Fortran 90/95

Covers basic topics in numerical computation and scientific programming using Fortran 90/95. Topics include basic language elements and concepts, intrinsic functions and usage, programming best practice, and relevant open source tools. This is a basic to intermediate level course.

Location: Student Computing Center (SCC), Room 4.210F

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