The Computation Institute is engaged in various educational programs, some of which are highlighted below. CI Fellows teach classes in core topics relating to computation, such as fluid dynamics, parallel computing, data analysis, medical informatics, and computational biology. In addition to these efforts, we have undergraduate and graduate student interns working on computational projects. Learn more about opportunities for student research at the CI.
The Data Science for Social Good summer fellowship trains future data scientists to work on the world's most challenging social problems with non-profit and government organizations.
The CI teaches a course on Analysis of Big Data in Federal Agencies, geared towards government employees interested in extracting value from the vast amounts of data available to federal agencies.
In the Loop: A City Data and Digital Manufacturing STEM Learning Project is a course developed by CI research centers the Center for Robust Decision-Making on Climate and Energy Policy (RDCEP), Knowledge Lab, and the Center for Data Science and Public Policy with Englewood Codes that introduces high school students to working with data and digital design through the creation of a custom-built Looplamp.