Past Events

Dates and times to be determined. The Office of the CIO will offer a training course to campus IT, Libraries, and research staff on how to help researchers begin open source projects and connect with the UT-OSPO as they move through the UT-OSPO Participation Pathway.

Join us for TACC's Machine Learning Institute. Learn about important machine learning and deep learning concepts, methods, and applications through hands-on training.

Please join us for TACC’s annual High Performance Computing and Visualization Institute, where we will cover parallel computing and scientific visualization concepts.

This workshop will cover the essentials of Git, GitHub, and GitHub Actions. The content is tailored to domain scientists wanting to work collaboratively on code and add automation to certain parts of their workflows.

CMake is a build system for packages -- applications and libraries -- written in C++, C, or Fortran. It is also the basis of an eco-system, making it possible for one package to find another, and incorporate it.

R is a powerful statistical computing and graphics software that is open source and widely popular—particularly in academia.

This in-person two-day workshop is aimed at UT students and researchers. You don't need to have any previous knowledge of Python to participate in this workshop. This example-driven two-day workshop will start with an introduction to Python and then allow participants to choose a particular track to learn more about more specific applications of Python.

This in-person two-day workshop is aimed at UT students and researchers. You don't need to have any previous knowledge of Python to participate in this workshop. This example-driven two-day workshop will start with an introduction to Python and then allow participants to choose a particular track to learn more about more specific applications of Python.

Join the UT Austin community in recognizing GIS Day 2023 on November 15th in the Scholars Lab in PCL!

This workshop will provide an explanation of key geospatial terms and concepts and an introduction to open source geographic information system (GIS) software for visualizing,