BCP 101: Computational Pedagogy for STEM Educators - Professional development workshop
Cassandra Olivas, Maximos Chin, and C. Titus Brown
Contact: clolivas@ucdavis.edu, mzchin@ucdavis.edu, and ctbrown@ucdavis.edu.
Develop the computational skills needed to analyze real datasets and learn the pedagogical strategies to integrate these approaches into the classroom.
Workshop Overview
BCP 101 is a free professional development workshop designed for secondary educators who want to integrate data analysis, visualization, and reproducible research practices into their classrooms. Participants begin with a week focused on building foundational computational skills for classroom application. The program is followed by optional virtual sessions that provide continued support for educators who wish to deepen their skills, experiment with tools, or develop their own curriculum projects. Through hands-on coding, collaborative module development, and guided instruction, teachers gain practical experience with tools such as R, bash, Git/GitHub, and workflow managers — and leave prepared to bring authentic data into inquiry-based lessons
Schedule
The workshop will run each day from Monday, June 15th to Thursday, June 18th, 2026.
Mornings will start at 10am and go ‘til noon.
Afternoons will start at 1pm and go ‘til 3pm.
Monday, June 15 - morning
Welcome, introduction, and technology overview
Monday, June 15 - afternoon
Hands-on introduction to technology
Tuesday, June 16 - morning
Introduction to data analysis in Python
Tuesday, June 16 - afternoon
Data manipulation and plotting in Python
Wednesday, June 17 - morning
Revisiting JupyterLite and notebooks
Wednesday, June 17 - afternoon
Building and configuring your own custom site
Thursday, June 18 - morning
Brainstorming and/or small groups: designing your own curriculum and site
Thursday, June 18 - afternoon
Brainstorming and/or small groups: designing your own curriculum and site - continued.
Site content
These materials are current as of June 2026.
The site will stay up indefinitely but will not necessarily be maintained.
All content is public domain under CC0.
Copyright 2026 Cassandra Olivas, Maximos Chin, and C. Titus Brown.
The GitHub site is here.