PICUP Summer 2023 Virtual Workshop
Teaching a Computational Physics Course
An online workshop for faculty interested in teaching computation in a stand-alone Computational Physics course
Important Dates
Registration
July 27, 2023: Early-Bird Registration Deadline (price increases from $10 to $15)
July 31, 2023: Final Registration Deadline
Registration is now open--hit that big green button below!
Workshop Dates:
August 1, 2023: Main Workshop and Small Groups -- 12 PM - 4 PM Central Time
August 2, 2023: Working Groups Help Session -- 12 PM - 1 PM Central Time
August 3, 2023: Participants Showcase & Conclusion -- 12 PM - 2 PM Central Time
Workshop Scope
The purpose of the workshop is to explore the anatomy and purpose of a stand-alone computational course in computational physics beyond introductory physics.
We will discuss the role/purpose of the Computational Physics course in relation to the broader curriculum, and how this course can be leveraged to improve instruction in upper-level courses. The workshop will also include a discussion of the benefits and challenges associated with teaching a Computational Physics course. Participants will also be provided with a brief tour of the PICUP website, and encouraged to get plugged into the larger PICUP community for ongoing support in their pedagogical efforts.
Who Should Attend
All faculty who are interested in teaching -- or potentially teaching -- a Computational Physics course are invited to attend: Whether you have taught this course for years, or are going to be teaching this course for the first time, or are just thinking about the possibility of developing such a course in the future, we encourage you to attend!
Program
Tuesday, August 1: Session 1 (all times Central time zone)
12:00 - 12:15 PM | Introduction & Workshop Agenda |
12:15 - 1:15 PM | Ways to structure the course/curriculum: "Show and Tell" from workshop coordinators |
1:15 - 2:00 PM | Benefits and Challenges of the Computational Physics course |
2:00 - 4:00 PM | Small Groups |
Homework | Each participant will work on developing a computational activity, based on a well-defined learning goal, that they might use in a Computational Physics course. (This activity does not need to be "new"!) Alternatively, participants could choose one aspect of the course that they would like to address and implement, or change, and describe the plan. |
Wednesday, August 2: Session 2 - Small Groups (all times Central time zone)
12:00 - 12:10 PM | Each participant will give a brief description of one computational activity that their students would do |
12:10 - 1:00 PM | Working Groups Help Session: Meeting with Group Leader |
Homework | Participants should plan to give a brief presentation on their plan at the Thursday "Showcase" session. |
Thursday, August 3: Session 3 (all times Central time zone)
12:00 - 1:45 PM | Participants Showcase -
The showcase provides an opportunity for participants to briefly report on the computational activity, assignment, or curricular plan under development for the upcoming academic term. The Thursday session will be primarily dedicated to the showcase; each participant should prepare a slide or two for a 3-5 minute presentation. |
1:45 - 2:00 PM | Conclusion and Post-Workshop Support |
Spreadsheets
This series of videos shows how to make use of some basic spreadsheet functionality to build computational models, and includes a review of the simple Euler Method for solving a first order differential equation in the context of solving Newton's 2nd Law. The series culminates with an implementation of a model of a Falling Sphere without air resistance. Any spreadsheet program can be used to follow along, and work through the content in these videos.
Building a Control Panel - Excel/LibreOffice
Building a Control Panel - Google Sheets
Basic Iterative Calculations and Building a Kinematic Problem Solver - Excel/LibreOffice
Basic Iterative Calculations and Building a Kinematic Problem Solver - Google Sheets
Falling Sphere without Air Resistance
VPython
Workshop Coordinators
Kelly Roos, Bradley University (contact: rooster@bradley.edu)
Larry Engelhardt, Francis Marion University
Todd Zimmerman, University of Wisconsin - Stout
Jay Wang, Department of Physics, University of Massachusetts - Dartmouth
Gillian Ryan, Carnegie Mellon University
Walter Freeman, Syracuse University
Danny Caballero, Michigan State University
Andrew Morrison, Joliet Junior College