IMPACT Data Science Education
Preparing undergraduates to Lead into the Future
The IMPACT Data Science Education project aims to create a sustainable and scalable course development process for integrating data science into undergraduate courses. The project builds on successful Purdue programs, such as IMPACT (Instruction Matters: Purdue Academic Course Transformation) and the Data Science Consulting Service.
The project will accept six faculty members who will participate in the IMPACT program and additional activities during spring 2020 to design innovative and engaging data science coursework to enable their students to use data science methods and techniques in their fields.
IMPACT Data Science Education, as one of the projects of Purdue University’s Integrative Data Science Initiative (IDIS), will contribute to the current data science education ecosystem at Purdue by helping faculty integrate data science into undergraduate courses. The project team consists of faculty, staff and a student with expertise in data science, pedagogy, and instructional design.
For more information please contact: Clarence Maybee (PI) firstname.lastname@example.org, Yixuan Sun (GA) email@example.com.
Associate Professor Clarence Maybee, Purdue University Libraries and School of Information (PULSIS).
Associate Professor Guang Lin, Departments of Mathematics/Mechanical Engineering/Statistics(courtesy)/Earth, Atmospheric, and Planetary Sciences (courtesy) & Director of Data Science Consulting Service.
Assistant Professor Wei Zakharov, Purdue University Libraries and School of Information (PULSIS).
Assistant Professor Chao Cai, Purdue University Libraries and School of Information (PULSIS).
Senior Instructional Developer Jason FitzSimmons, Center of Instructional Excellence (CIE).
Graduate Assistant Yixuan Sun, Ph.D. student in Mechanical Engineering.