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Session Description

Ticketed event: $10.00 advanced registration and $20.00 on site registration
Workshop Time
1st Choice Sunday morning 09:00 – 12:00.
2nd Choice Sunday afternoon 13:00 – 15:30.

Workshop Title
Using Jupyter Notebooks to support computational activities in the classroom.

Workshop Presenters
Carl Frederickson, carlf@uca.edu
Bala Maheswaran, b.maheswaran@northeastern.edu

Collaboration
This workshop will be a collaboration primarily between the Engineering Physics and Physics Division (EPPD) and the Data Science and Artificial Intelligence Constituent Committee (DSAI). After the acceptance of the workshop, we will also reach out to and include other divisions who are interested in it.

Expected Audience
Participants who are looking for ways to increase the number of computational activities in their classes (40-50)

Learning Objectives of Workshop
Participants will be able to create Jupyter Notebook templates for class assignments:
Include images in the files
Include equations
Include formatted text
Include computational cells
Participants will be able to save completed notebooks in various formats:
PDF
HTML
LATeX
Participants will have created at least one assignment template for use in their classes.

Brief Description of Workshop

This hands-on workshop introduces educators to Jupyter Notebooks as a powerful tool for creating interactive computational assignments. Participants will learn to design professional notebook templates that seamlessly integrate multiple content types—formatted text, mathematical equations, images, and executable code cells—making them ideal for STEM courses and data-driven disciplines.

Through practical exercises, attendees will master essential formatting techniques using Markdown and LaTeX, discover how to embed visual content, and learn best practices for structuring computational problems that encourage student exploration and experimentation. The workshop emphasizes practical application: each participant will develop at least one complete assignment template tailored to their specific course needs.

Beyond creation, participants will explore multiple export options (PDF, HTML, LaTeX) to ensure assignments integrate smoothly with existing learning management systems and accommodate diverse student needs. Whether you're teaching physics, statistics, computer science, or any course involving data analysis or mathematical modeling, you'll leave with ready-to-use templates and the confidence to transform how students engage with computational concepts in your classroom. No prior programming experience required—just bring your teaching ideas and a laptop.

Planned Schedule of Workshop
Provide a detailed breakdown of how the time of the workshop will be used.
9:30-10:00 Introduction to Jupyter Notebooks
10:00-10:30 Example Assignment in Jupyter Notebook
10:30-11:00 Brainstorming Assignment Ideas
11:00-11:10 Break
11:10-12:00 Building Take-Home Assignment Templates

Funding Source of Workshop Material (if applicable)
BASS accounts for EPPD and DSAI

Moderated by

1. Dr. Tooran Emami Ph. D. and Dr. Carl K Frederickson

Speakers

1. Dr. Carl K Frederickson

   The University of Central Arkansas

   I have taught engineering and physics classes using Jupyter Notebooks for the last 4 years. I have been teaching for over 30 years altogether.

2. Dr. Bala Maheswaran

   Northeastern University

   Dr. Bala Maheswaran
   Northeastern University

3. Dr. Tooran Emami Ph. D.

   United States Coast Guard Academy

4. Dr. Carl K Frederickson

   The University of Central Arkansas