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    • Allen Sanderson

    MICDE Seminar: Allen Sanderson, Research Scientist, Scientific Computing and Imaging Institute, The University of Utah

    Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United States

    Bio: Allen Sanderson, Ph.D. is a Research Scientist at the University of Utah’s Scientific Computing and Imaging Institute. His interest lies in visualization and analysis of large data coming from application areas ranging from plasma physics to combustion. Recently he has focused on new ways to utilize in situ data analysis and visualization which often […]

    Research Computing on the Great Lakes Cluster

    Modern Languages Building (MLB), Room 2001A

    OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created […]

    SC2 Workshop Series: VisIt- Open Source, Interactive, Scalable, Visualization, Animation and Analysis Tool

    Learn to interactively visualize and analyze data ranging in scale from small (<101 cores) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Dr. Allen Sanderson, an expert from the Scientific Computing and Imaging Institute (Utah), will teach this workshop. If you're unfamiliar with VisIt, check out how it can help you visualize your data here. […]

    Open Source GIS

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will provide a fast paced introduction to georeferenced vector data analysis. We will explore the power and functionalities of QGIS and R for reading, manipulating, and analyzing vector GIS data. Participants will also learn to generate production quality maps. Some exposure to R will he helpful but is not required.

    Advanced research computing on the Great Lakes cluster

    Modern Languages Building (MLB), Room 2001A

    OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, […]

    Introduction to the Linux Command Line

    Modern Languages Building (MLB), Room 2001A

    This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […]

    Introduction to Julia

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will introduce the Julia programming language, with a focus on using Julia for data analysis.  No prior exposure to Julia is needed. We will discuss some aspects of the core language, cover some basic techniques for data manipulation, and fit a model using linear regression.

    Introduction to SPSS

    Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at [email protected] before enrolling. Fundamentals This portion introduces SPSS for Windows, the menu and the help systems, the three main types of files used, and printing from within SPSS.  It then addresses defining variables, attaching labels, defining […]

    R I: Data Wrangling

    Modern Languages Building (MLB), Room 2001B

    This workshop will delve into common data processing and exploration techniques using R.  The main focus will be on constructing and manipulating R data objects, and using packages that enhance and facilitate operations that typically arise when dealing with data, including faster I/O, variable creation and manipulation, and grouped operations, especially as a prelude to […]

    Andrew Wetzel

    MICDE Seminar: Andrew Wetzel, Assistant Professor, Physics, University of California, Davis

    411 West Hall (1085 S. University) 1085 S. University Ave, Ann Arbor, MI, United States

    Bio: Professor Wetzel is an assistant professor in the physics department and in the astrophysics and cosmology group at the University of California, Davis. He is a theoretical/computational astrophysicist and cosmologist. Using the world’s most powerful supercomputers, he generates cosmological simulations to model the formation of cosmic structures, including galaxies and their stars. He uses […]