Events

  • Hands-on session with Python Statsmodels

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

    This semester, a series of seven workshops was offered by CSCAR illustrating various approaches to statistical analysis using the Python Statsmodels package.  In this session, we will provide an open […]

  • 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 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 the Flux cluster and batch computing

    Modern Languages Building (MLB), Room 2001A

    Overview This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions […]

    Advanced batch computing on the Flux cluster

    Modern Languages Building (MLB), Room 2001A

    This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic […]

    Introduction to the Flux cluster and batch computing

    Modern Languages Building (MLB), Room 2001A

    Overview This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions […]

    Dimension Reduction with Python

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

    This workshop will cover dimension reduction techniques for data analysis in Python, focusing on Principal Component Analysis (PCA), factor analysis, and canonical correlation analysis (CCA).  Depending on audience interest, dimension […]