To see current activities from 2014 fall session, please visit the course wiki

Course Objectives:
  1. This project based learning class will introduce fundamental concepts, tools and resources for effectively managing common tasks associated with analyzing large datasets.
  2. Provide familiarity with cyberinfrastrucutre (CI) resources available at the University of Arizona campus, iPlant Collaborative, NSF XSEDE centers, Future Grid and commercial providers such as Amazon.
  3. Learning to apply relevant CI skills (for final project) and developing wiki based documentation of these best practices.
  4. Learning how to effectively collaborate in interdisciplinary team settings.
Interested in taking this course ?
If you are a University of Arizona student (or postdoc/staff/faculty) and interested in signing up for this class please fill out this short form to obtain instructor permission, the class size is limited to 20 students. Also check the resources page for details on systems you will have access to (including $100 credit for Amazon AWS)

Course Description:
The course will comprise of  series of guest lectures by experts from  projects that have developed widely adopted foundational Cyberinfrastrcutrue resources, followed by hands on laboratory exercises focused around those resources. The students will utilize these resources and gain practical experience from laboratory exercises for a final project. The final project will include data set and requirements provided by domain scientists. Students will be provided access to compute resources at: UA campus clusters, iPlant Collaborative and at NSF XSEDE. Students will also learn how to write a proposal for obtaining future allocation to large scale national resources through XSEDE

For Faculty: If you have data sets, suggestions for final project for the class please contact instructors.