HPCC Systems is a sponsor this event as part of our academic program. It is hosted by the College of Computing and Software Engineering at KSU.
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| Date of the event | September 25th-28th 2019 | ||
| Location | Marietta Campus, J/Atrium Building | ||
| Cost | Free | ||
| Eligibility | This 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 | https://www.eventbrite.com/e/ksu-ccse-hackathon-2019-tickets-60446519166 See the KSU Hackathon 2019 Flyer associated with this event. | ||
| HPCC Systems Hackathon Team | 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 financial industry. | ||
| Challenge TBC | Data Source | TBA | Conducting property analysis is a valuable way to understand the value of the properties in the marketplace. It is also important when making any financial decisions on whether to buy, hold, or sell. In this hackathon, you will work with the real world property assessment data to conduct property analysis, leveraging the distributed computing environment of HPCC Systems from LexisNexis Risk Solutions Group. The Office of Property Assessment (OPA) is responsible with determining the value of all real property and is dedicated to doing so in a fair, accurate, and understandable way. A fair assessment process is one that ensures that similar properties with similar characteristics in similar condition have an equal tax burden [1]. The Actual Value Initiative (AVI) was implemented in Tax Year 2014 for the assessment of all real property (land and buildings) at their current market value. Market value reflects the approximate amount a property would sell for in today’s real estate market. The purpose of AVI has been to make sure that all values are assessed fairly and in compliance with state laws, statutes, and industry standards. It ensures that properties of equal value get the same assessments [1]. A data dictionary is also provided for a better understanding of the property assessment data (see below). Reference: [1] https://www.phila.gov/OPA/ |
| Data Source | Access the data source here: http://10.173.147.1:8010 Filename: philly::properties | ||
| Data Dictionary | |||
| General Instructions |
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| Rating Criteria |
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| 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.TBC | ||
| Slack Channelhttps://join.slack.com/t/ksuccsehackathon/shared_invite/enQtNDI4MzUwMjExNzk5LTY5ODQ0ZTNjNzliZmMzYmVjZGM3ZGE3MTNkZWFkZWVkZDNhZTE1ODUyZDkxNDg3ZWM0MjdkM2NmOGNjZWMwNmM | Click here to access Slack channel |
What can I do to prepare?
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