News & Events

Disney world Waiting Line Colloquium

AVOID LINES AT DISNEY WORLD BY PREDICTING HOW LONG YOU’LL WAIT”

Speaker: Len Testa, Computer Scientist TouringPlans.com

APRIL 21, 2017 1:30PM – 2:30PM
Seminar Room, Room 222, TC2

Abstract:

Millions of people visit Walt Disney World annually. “Long waits in line” is one of their most frequent complaints.
It’s possible to minimize these visitors’ waits, if you can predict how long the lines will be at any time of day.
In this talk you’ll hear how the team at TouringPlans.com uses statistics, machine learning, and computer science to predict wait times at every Walt Disney World ride, for up to 365 days in advance. You’ll also hear real-world examples of how TouringPlans deals with conflicting – andoften intentionally incorrect – source data when setting up their machine learning systems.

Siemens 2017 Wind Analytics Contest Winners

Siemens Wind Power Inc. announced winners for the Data Analytics Contest at the University of Central Florida Symposium 2017 held by the Department of Statistics.

First Place: Team 14

Taha Mokfi , Mahsa Almaeenejad, Md Jibanul Haque Jiban , Kanak Choudhury

Second Place: Team 12

Megan Dotson , Iryna Tyukina, Hashim Zakiullah

Third Place: Team 8

An Sun, Lonnie Lester, Matthew Keeran, Xianchao Xiang, Yanmei Patella

 

2017 Disney Contest

Touring Plans Co. and the Department of Statistics, University of Central Florida are pleased to announce a Big Data Challenge using real life data to predict wait times at Walt Disney World.

HOW TO ENTER: Click “Register Now” button and fill out the registration form at the following URL:

Taha Mokfi
Once registered, a registration ID will be assigned to each contestant by the system. The contestant will receive an email with the registration ID and a link to download the datasets.

Background information and contest rules are available below:

Dataset (You need to register first then we will send you the password for the dataset)

Problem Statement and Rules

Big Data Analytics Symposium 2017

UCF  Department  of  Statistics
Big Data Analytics Symposium

March 22, 2017

           

Presentation Slides:

Speaker – R Porter – Big Data in Business – College of Sciences

Speaker – Liqiang Wang – Big Data Analytics

Speaker – Dan Rodriguez – UCF Big Data Analytics

Speaker – Robert Norberg

Keynote Speaker – Big Data Analytics Anthony Renda

Speaker-Jennifer Zelmanski – Siemens Wind Power Inc Contest

Siemens 2017 Wind Analytics Contest

Siemens Wind Power Inc. and the University of Central Florida are pleased to announce a Data Analytics contest using real life (but disguised) data from wind turbines.

HOW TO ENTER: Registration ended!

Once registered, a registration ID will be assigned to each contestant by the system. The contestant will receive an email with the registration ID and a link to download the datasets.

Background information and contest rules are available below:

Dataset is updated and typo is corrected at 2/22/2017

Dataset (Not available anymore)

Contest Rules

Problem Statement

 

The Data Incubator

Program: The Data Incubator is an intensive 7 week fellowship that prepares masters, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship. Continue reading The Data Incubator