CMDA Fall Data Competition
Compete in teams of 2-3 and use your statistical and analytical knowledge to get hands-on experience with answering interesting questions about a dataset in this local competition!
Click here for more information.
Fall 2017 Winners
1st - Porch: Wyatt Lansford, Lazarus Arnau
2nd - 325 Till We Die: Arianna Krinos, Aimee Maurais
3rd - Junior Jamboree: Patrick Seise, Alexander Williams, Mykenzi Webb
Runner up - ForHire: Brendan McCloskey, Eric Fu, Kali Liang
1st - Nuisance Parameters: Sean Pili, Cate Renner, Josh Fowler
2nd - Alternative Data: Harshitha Narayanan, Zorian Thornton, Tulika Chaudhary
3rd - Azured Victory: Bryan Kaperick, Peter Steele, Ariana Herbst
Runner up - 500: Oliver Zufall, Quan Pham, Domenic Ricciardi
Congratulations and thank you to all participants! Get ready for the 2018 Fall Competition!
Hosted by Computational Modeling and Data Analysis (CMDA) Club at Virginia Tech
Sponsored by General Dynamics Mission Systems
In Collaboration with Computer Science
Monday, October 30 at 6:30pm in NCB 260 Receive dataset, materials, and instructions
Monday, November 6 at 5:30pm in NCB 160 Present findings and analyses
- Teams of 2-3 undergraduate students. Open to all majors and skill levels. Signup as a team or individually!
- Beginner and Advanced tracks for both less and more experienced students. All team members must decide on a track. Advanced students cannot be on a beginner track team.
- Create a trifold and 5-minute PowerPoint presentation with findings, visualizations, and analyses.
- Win cash prizes!
- Food and beverage will be provided, but housing will not.
Questions or concerns? Email Rachel Szabo at email@example.com