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We also took part in this event in 2017. For more information about how it went, read our blog post: Fly on the wall - Our first Hackathon.

Date of the eventTBASeptember 12 - 15, 2018
LocationMarietta Campus, J/Atrium Building
CostFree
EligibilityThis event is open to all KSU CCSE students (ACS, BASIT, IT, CS, SWE, and CGDD) who have passed their first few programming courses. Graduate students who have exempted all transitional courses or have passed at least three 5000 transition courses are also eligible.
Registration More information about the event
HPCC Systems Hackathon Team

Machine Learning for Big Data Analytics on HPCC Systems

Are you interested in how analytics can identify trends which help businesses from a wide range of markets improve their decision making?

Join our team and learn how to use the open source HPCC Systems platform and ECL-ML machine learning libraries, to build predictive models in the fields of insurance, health care, finance, security and other vertical markets.

Challenge

Reconciliation, Fraud, Compliance & Analytics as a service is fast becoming a critical function in the Fin Techindustry. While many have previously tried to build homegrown solutions, few have been successful for various reasons. The DataSeers appliance provides a unique solution of accomplishing this. In the future, we would want DataSeers customers to not only know “what happened”, we also want them to know “if it will happen” or “when will it happen”. As part of the Hackathon experience, you will be provided with anonymized datasets of real transactional data, from which you will have to derive predictions around customer behavior.


Video about this challenge coming soon.

Data SourceTBA
General Instructions
  1. Please follow all the guidelines specified by the data provider.
  2. Provide a brief design/tech document describing the proposed solution (2-3 pages max).
  3. Provide the bio of all participants and their roles on the project.
  4. Use the HPCC Systems platform for executing the solution.
Rating Criteria
  1. Innovation involved
  2. Understanding of Big Data patterns and its application to HPCC Systems.
  3. Team work and execution
  4. Presentation quality
Mentors available during the Hackathon

The following mentors will be on site for the duration of the event: Dan Camper, Arjuna Chala and Richard Taylor.

The following mentors will be available to give assistance remotely: Roger Dev.

More information about our mentors and how to contact them

Slack Channelhttps://ksuccsehackathon.slack.com/

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