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Mars Data Challenge Hackathon
Sponsored by EMC {code}
- Tues., November 10, 7:00–10:00 pm (LISA Lab, Lincoln 2): Kick-off, team formation, and hack session 1. Food and beverages will be provided!
- Wed., November 11, 7:00–10:00 pm (LISA Lab, Lincoln 2): Hack session 2.
- Thur., November 12, 3:30–4:00 pm (location TBA): Results announced! Winners will walk away with drones, and everyone will walk away with a new Raspberry Pi kit.
You're invited to EMC {code}'s Mars Data Challenge Hackathon!
You and your team have just landed on Mars. As you prepare the base, massive sun storms are coming your way. That was the last communication you had from Earth. Now connectivity to Earth has been cut, and although the base has enough energy, your protective shields can run for a only few minutes at a time without recharging.
Your only chance of survival is to monitor the current temperature and radiation levels in the planet's atmosphere to detect sun flares and activate your base shields for protection. You have only a few hours to implement a sensor array, build and deploy the monitoring application to engage/disengage your shields, then fine tune an algorithm based on your data analysis that decides when to charge your shields and when to engage them for protection. Will you and your team survive?
The top survivors will win prizes (drones!), and every single participant of this Mars Data Challenge will walk away with a Raspberry Pi 2.
Light refreshments and plenty of help will be provided!
Registration
Admission is free for LISA15 attendees, but pre-registration is required!
Requirements for a successful participant:
- Open Minded
- Ready for a challenging event
- Team Player
Recommended Skills for a successful team:
- Hands on Experience with Linux container technologies like Docker and Rocket
- Hands on Experience with deployment tools like Docker Machine/Compose/Swarm, or Kubernetes and/or Mesos
Experience:
- Experience working and/or implementing Distributed applications
- Experience using web sockets
- Experience with Object Storage (AWS S3, Atmos, Centera, OpenStack Swift, Cepth, Elastic Cloud Storage, etc.)
- Experience using Queue Base software (Rabbit MQ, Kaffka, REDIS, etc.)
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