Student groups will team with military and industry IT professionals to compete in 3 separate events:

Big Data/Application Build and Pitch, Network and Systems Administration and Esports.

Each event will be scored separately, prizes will be awarded (1st, 2nd and 3rd) in each event, and an overall winner will be recognized (composite total score of all events).

Application Build and Pitch Presentation - 125 pts

Collaborative teams will create innovative technology solutions for managing, analyzing and displaying big data.

Stakeholders from the medical, city planning, education and logistics communities will provide subject matter expertise throughout the weekend to assist in solutioning.

In addition, an agile SCRUM master and technical experts from market leading data science and analytics (Google) will provide training sessions to prepare you for the weekend.

Scoring Evaluation Criteria

  • Data Ingress 0-10
  • Data Transformation 0-15
  • Data Evaluation 0-25
  • Data Dashboard (Content) 0-10
  • Dashboard UX (Usability) 0-15
  • Pitch 0-50

Network and Systems Administration Challenge - 75 pts

Each team will need to resolve Azure and traditional Networking issues to restore communication to a client application. Teams will be evaluated based on their ability to restore proper network communications.

Esports Event - 50 pts

Each team will select a member to participate in a double elimination SMASH BROS tournament. This tournament will be played using the popular Nintendo Switch gaming system; points will be awarded for wins.

Bonus Points - 25 pts

Top 3 teams of everything (networks, esports, app/pitch/build) go to the bonus app/pitch/build.
Technical - 10 pts
Presentation - 15 pts

Problem Areas

All challenges will use the following tools operating out of the Google Cloud Platform.

  • BigQuery
  • Data Studio
  • Dataprep

Medical - COVID-19


 The COVID pandemic continues to impact people around the world and will continue to persist for the foreseeable future.


Using the data set provided, develop a dashboard that visualizes useful patterns or relationships gleaned from the current pandemic in the state of Alabama. Considerations for any insights discovered include but are not limited to:

  • Case counts
  • Death counts
  • Variants
  • Urban vs. Suburban areas
  • Cities vs. Counties
  • Peaks, minimums, and averages·

Data Set

Covid Health Data: https://cmu-delphi.github.io/delphi-epidata/

Education - Where are the students taking CS courses?


In the last year, we have seen exponential growth in the number of students enrolled in a high-quality computer science course. The visualization of educational content enhances the flexibility for external stakeholders to make informed decisions regarding policy implementation efforts, including identifying gaps in student access to high-quality computer science courses.


Using the data set provided by the Alabama State Department, develop a dashboard that visualizes useful patterns or relationships gleaned from access, course utilization, gender gaps, etc. by workforce development regions. Considerations for any insights discovered include but are not limited to:

  • Quantity of schools offering multiple courses
  • Course utilization
  • Total number of computer science courses offered in each school and whether these courses are Advanced Placement classes
  • Disaggregation of students by gender
  • Disaggregation of students by race and ethnicity
  • Disaggregation of students by Special Education Status, English Learner Status, and Eligibility for Free and Reduced-Price Meals
  • Gaps in participation by gender
  • Gaps in participation by race and ethnicity

Data Set

Education Data Set

City Planning & 311 Services


311 are telephone services offered by respective cities that offer city information and non-emergency and non-law enforcement related services to its constituents, such as street cleaning, potholes, or tax account inquires. The ability to schedule and plan ongoing city improvements is critical to the ongoing success of projects within the Montgomery region. The Montgomery 311 website has been aggregating this data into a publicly available data portal for the past many years.


Using the data set provided by the Montgomery Open Data Portal and available 311 information, develop a dashboard that visualizes useful patterns and relationships gleaned from available data. Considerations for any insights discovered include but are not limited to:

  • Number of calls
  • Call frequency
  • Resolution rate
  • Call duplication
  • Category
  • Geographic area

Data Set