MCSR Parallel-O-Gram

E-Newsletter/Blog of the Mississippi Center for Supercomputing Research

MCSR Spring Workshops

Posted on: January 28th, 2014 by bnpharr

MCSR will once again offer technical workshops to assist our users and others in the University community in getting the most out of their computing resources. Each topic is offered twice each week. Direct any questions to Ben Pharr at bnpharr@olemiss.edu or 915-3036.

Date Course
01/28 Introduction to the UNIX Command Line: Intro to using the Unix/Linux operating systems. Hands-on exercises in logging in, navigating the file system, viewing the contents of files, executing commands, and redirecting output to files or pipes.
3:00 – 4:00, Weir 107
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01/29 Introduction to the UNIX Command Line: Intro to using the Unix/Linux operating systems. Hands-on exercises in logging in, navigating the file system, viewing the contents of files, executing commands, and redirecting output to files or pipes.
3:00 – 4:00, Weir 107
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02/04 Introduction to MATLAB: MATLAB is a commonly used computing environment used in both academia and industry. This is an introduction to the MATLAB GUI and language for first-time users.
3:00 – 4:00, Weir 107
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02/05 Introduction to MATLAB: MATLAB is a commonly used computing environment used in both academia and industry. This is an introduction to the MATLAB GUI and language for first-time users.
3:00 – 4:00, Weir 107
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02/11 Intermediate UNIX Command Line: Learning more about file permission, searching files, Unix processes & environment Variables
3:00 – 4:00, Weir 107
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02/12 Intermediate UNIX Command Line: Learning more about file permission, searching files, Unix processes & environment Variables
3:00 – 4:00, Weir 107
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02/18 Python for non-programmers: An introduction to the Python programming language for non-programmers or beginner programmers.
3:00 – 4:00, Weir 107
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02/25 Introduction to R: Learn to use the free and open source programming language R for statistical computing.
3:00 – 4:00, Weir 107
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02/26 Introduction to R: Learn to use the free and open source programming language R for statistical computing.
3:00 – 4:00, Weir 107
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03/18 Data Analysis with Python: Learn to analyze structured and numerical data using Python and its PANDAS and SciPy libraries.
3:00 – 4:00, Weir 107
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03/19 Data Analysis with Python: Learn to analyze structured and numerical data using Python and its PANDAS and SciPy libraries.
3:00 – 4:00, Weir 107
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03/25 Scripting in UNIX: An introduction to UNIX scripting with bash, Perl, and Python.
3:00 – 4:00, Weir 107
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03/26 Scripting in UNIX: An introduction to UNIX scripting with bash, Perl, and Python.
3:00 – 4:00, Weir 107
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04/01 Using PBS on Sequoia and Catalpa: How to properly use the Portable Batch System (PBS) to run HPC jobs on MCSR supercomputers.
3:00 – 4:00, Weir 107
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04/02 Using PBS on Sequoia and Catalpa: How to properly use the Portable Batch System (PBS) to run HPC jobs on MCSR supercomputers.
3:00 – 4:00, Weir 107
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04/08 Julia: A High-Performance Dynamic Language for Scientific Computing: An introduction to a high-performance programming language that is easier to use than C, C++, Java and other high-performance languages.
3:00 – 4:00, Weir 107
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04/09 Julia: A High-Performance Dynamic Language for Scientific Computing: An introduction to a high-performance programming language that is easier to use than C, C++, Java and other high-performance languages.
3:00 – 4:00, Weir 107
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