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COE HPC

Bring High Performance Computing to Everyone in College of Engineering at Texas A&M University!

Texas A&M University College of Engineering

BYOD

Bring-Your-Own-Data (BYOD) Workshops – 2020

Posted on January 7, 2020 by Jian Tao

The Texas A&M Institute of Data Science (TAMIDS), Texas A&M High Performance Research Computing (HPRC), and Texas Engineering Experiment Station invite you to join our Bring-Your-Own-Data (BYOD) workshop! The primary goal of this workshop is to help Aggie researchers take advantage of the latest data analytics technologies and Texas A&M high performance computing facilities to speed up various data science projects. This is a FREE service offered to all researchers at Texas A&M.

Time: Jan 21 – Apr 14, 2020 Tuesdays.
Location: 235-I Wisenbaker Engineering Building, 188 Bizzell St, College Station, Texas 77843

Please note that this is NOT a training session, but more in forms of a code development working meeting focusing exclusively on your project with a goal to overcome techinical hurdles you may have to move forward with your data science projects. Given the limited time and resources available to offer this workshop, you must be prepared with a determined mind to create substantial progress. We can only work on the software applications that you write and plan to maintain yourself or the applications that are built on top of an open source platform.

You are advised to bring your own laptop, but it is not required as long as you provide means to share your data with us at the workshop. Please feel free to contact the organizers if you have any questions or comments.

More about the BYOD workshop can be foundĀ here.

Filed Under: Workshops Tagged With: BYOD

Updates

  • Dr. Jian Tao joined the Department of Visualization September 7, 2021
  • Parallel Computing with MATLAB Hands-On Workshop February 25, 2021
  • TAMIDS Scientific Machine Learning Lab February 1, 2021
  • TAMU Master of Science in Data Science February 1, 2021
  • HPRC/TAMIDS Workshop: Data Visualization and Geospatial Analysis With R November 3, 2020

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