Events

  • Introduction to Deep Neural Networks with Keras/TensorFlow

    Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network […]

    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 […]

    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 […]

    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 […]

    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 […]

    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 […]

    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 […]