Learn computing by doing it with other people.

PFW ACM is a student chapter of the Association for Computing Machinery. We run competitions, game-development events, talks, workshops, projects, and other beyond-the-classroom activities for students interested in computing.

You do not need to be a computer science major, already know how to code, or participate in everything. The chapter is meant to give students a place to try new things, build confidence, and learn from each other.

University-registered members

Up from roughly 8 registered members two years earlier.

188

Discord community members

Students, alumni, and community members participate at varying levels.

Games completed at GGJ 2026

Created by student teams during the chapter's 48-hour game jam.

Join PFW ACM About the chapter

What members can do

Our largest programs are the Global Game Jam and National Cyber League, but the chapter is broader than either one. Members also run technical talks, build open-source tools, explore synthetic datasets, collaborate with other student groups, and propose new activities around their own interests.

Global Game Jam

Spend a weekend building a game with a team. Programming helps, but art, writing, design, music, organization, and willingness to learn matter too.

National Cyber League

Train across practical cybersecurity categories, compete as an individual, then work with a team. Newer participants are intentionally given a path into the program.

Art + computing

Bring illustration, sound, 3D, animation, writing, design, or another creative practice and use computing as another material—not as a prerequisite.

Projects & collaboration

Contribute to chapter projects, datasets, websites, tools, and collaborations with other student organizations without waiting for a class assignment.

Explore

Events

See upcoming and past workshops, competitions, chapter meetings, and collaborative events.

About PFW ACM

Learn about the chapter, its programs, current officers, and the student community we are building.

Synthetic Datasets

Work through synthetic data-science exercises designed for cleaning, processing, analysis, and experimentation.

Industry Partnerships

See how companies and community partners can support student learning through talks, mentorship, infrastructure, projects, or sponsorship.

Interested, but not sure where to start?

Fill out the interest form or join the Discord. You can learn the technical part after you get here.

Get involved