CSUAC is composed of Computer Science undergrads and other interested students who want to make improvements to the undergraduate Computer Science program.
This group hosts a weekly graduate student forum and other events throughout the semester to build community amongst graduate students in the department. For more information, visit the Graduate Social Committee webpage or contact firstname.lastname@example.org.
Hack CU hosts several hackathons throughout the year, and runs the Startups2Students job fair each spring. Visit the Hack CU website for more information.
Interested in computer security? Cryptography? Social engineering? Hacking competitions? Join the CU Hacking Club! We meet on a regular basis to discuss a variety of computer security topics, techniques and tutorials. Some of us also participate in various hacking competitions during the year. All skill levels and backgrounds welcome. Come learn about how computer systems can be attacked and what you can do to defend them. For more info or to stay up to date on our happenings, apply for membership to our mailing list or email email@example.com.
CU Women in Computing (CUWIC) is the ACM-W chapter within the Computer Science Department at CU Boulder. CUWIC is dedicated to supporting women and diversity in computing.
The College Cryptocurrency Network (CCN) is an international nonprofit organization dedicated to forming a robust network of college clubs for cryptocurrency education, mining, trading and start-ups. Visit the Bitcoin Club website for more information.
Promotes software project collaboration and cloud computing. Any full-time student at CU Boulder can become a member. Some of the benefits of membership include:
The Colorado Data Science Team (CODATA) is a lively student group of data scientists, machine learners, number crunchers and statisticians, predominantly from computer science but with members from many departments across campus. Our primary goal is to give students hands-on experience working in teams to apply modern machine learning tools to real problems with real data. We compete internally in sponsored prediction challenges, as well as representing CU Boulder in global competitions as seen on Kaggle, DrivenData, Quantopian and other platforms. Check out codata.colorado.edu to join our mailing list, and to learn more about the team and the optional 1-credit companion course. You can also contact us at firstname.lastname@example.org.