BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:STANDARD
DTSTART:20191103T020000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20200308T020000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.1294.events_uoft_date.0@www.statistics.utoronto.ca
CREATED:20200203T200334Z
DESCRIPTION:\nWhen and Where: \nFriday, February 28, 2020 4:30 pm to Sund
 ay, March 01, 2020 4:00 pm \n DevHub \n 662 King St. W. \n\nDescription:
  \nTD Bank, the Rotman School of Management's FinHub and TDMDAL are proud
  to present the 3rd annual TD Data Hackathon - 'The Rise of Data'. This ye
 ar, the event is open to UofT students from all departments and programs\
 , and it will present students with the opportunity to apply their busines
 s and data analytics skills to a real business problem identified by TD Ba
 nk. The problem statement for the 3rd annual TD Data Hackathon is Can you 
 predict the net change in the firm's stock price on the day after a quarte
 rly earnings call?  The output from the hackathon has the potential to inf
 orm the investor relations and corporate communications team at TD on the 
 appropriate content and tone of the bank's quarterly earnings call.Hackath
 on Format Teams will be composed of approximately 5 participants - teams w
 ill be composed of a balance of students from Rotman and other faculties a
 t UofT including engineering, computer science, math etc... The maximum 
 number of student participants is 100. Event dates: February 28, 29 and M
 arch 1, 2020                       Friday 5:00pm-late (doors open 4:30pm)
 , Saturday all day & Sunday until 4pmLocation:      DevHub, 662 King St.
  W., Toronto (King & Bathurst) [TBC]Breakfast, Lunch, Dinner, and snac
 ks will be provided.Prizes for the winning teams.Registration This registr
 ation survey is designed to get an understanding of your business backgrou
 nd and data management and analytics skills. Please answer all questions a
 s best you can: for group submissions, please choose the answer that best
  reflects the level of knowledge in your group. Your answers will help us 
 determine whether you qualify for this event and they will help us put tog
 ether teams with complementary skills.Registration Deadline: Friday, Febr
 uary 14, 2020, at 5 pmParticipation Guidelines & Requirements: - Partici
 pants are required to be present on all three days of the Data Hackathon. 
 - Students may apply individually or as a group (maximal group size: three
 ). - We will notify successful candidates/teams by February 21, 2020 - Al
 l registrants must provide their UofT student ID at signup.  \n662 King St
 . W. \n\nCategories \n Workshops & Training \n\nAudiences \n Graduate Stud
 entsUndergraduate Students
DTSTART;TZID=America/New_York:20200228T163000
DTEND;TZID=America/New_York:20200301T160000
LAST-MODIFIED:20210316T155955Z
LOCATION:662 King St. W.
SUMMARY:3rd annual TD Data Hackathon - 'The Rise of Data'
URL;TYPE=URI:https://www.statistics.utoronto.ca/events/3rd-annual-td-data-h
 ackathon-rise-data
END:VEVENT
END:VCALENDAR
