Removing Barriers: Programming Outside Computer Science Courses

Wednesday, March 20 | 11:15AM–12:00PM ET | Room 551
Session Type: Breakout Session
Delivery Format: Interactive Presentation
Programming is a valuable skill to learn science and conduct research for students of disciplines other than computer science, but non-CS instructors are challenged by how to introduce programming without overwhelming their students. We are using Jupyter Notebook, an open-source web application, to deliver discipline-specific programming modules. Colleagues across departments (data science, academic technology, and the Center for Computational Visualization and Physics) developed an approach to make programming accessible for students with little or no experience. Join us for an overview of the project, technical details of the solution, and results of initial use—a "winner," according to the instructor.

Outcomes: Assess access to developing programming skills on your campus * Engage instructors and colleagues in conversation to address your campus needs * Apply technical solution to address your campus needs


  • TJ Kalaitzidis

    Instructional Designer, Brown University
  • Max King

    High Performance Computing Application Scientist, Brown University
  • Maria Restrepo

    Senior Data Scientist, Brown University
  • Paul Stey

    Director of Scientific Computing and Data Science, Brown University
  • Mete Tunca

    Assistant Director, Cloud and Research Services, Brown University
  • Catherine Zabriskie

    Senior Director Digital Learning & Design, Brown University

Resources & Downloads

  • Removing barriers enabling programming outside of computer science courses

    Updated on 11/26/2019