Organisation : IEOR, IITB & McKinsey Knowledge Centre India
Contest Name : The Young Optimization Crackerjack Contest
Applicable For : Students
Contest Last Date : February 19, 2018
Website : https://datahack.analyticsvidhya.com/contest/the-young-optimization-crackerjack-contest/
Analytics Vidhya Young Optimization Crackerjack Contest
Industrial Engineering and Operations Research at IIT Bombay (IEOR@IITBombay) and McKinsey Knowledge Centre India have partnered to create a challenging competition for students interested in Analytics.
Related : Analytics Vidhya Data Hackathon The D Hack Contest 2015 : www.contest.net.in/2719.html
IEOR Day @ IIT Bombay is a full day event focused on Operations Research and Analytics topics. Academicians and practitioners from the industry, across domains, will come together to discuss the latest and greatest of analytics on this day.
Ronald Coase had stated “If you torture the data long enough, it will confess”. We hope that this competition will ignite the innovator in you and give you a glimpse of how data analytics techniques are useful in solving real life operations research problems.
Important Dates
Starts at Sat Feb 10 2018 00:00:00 GMT+0530 (India Standard Time)
Closes on Mon Feb 19 2018 12:00:00 GMT+0530 (India Standard Time)
Mode : Online
Registration Fee : Free
Participants : 158
Prizes
Winners of the competition stand to win prizes worth rupees 1 Lakh+.
1st Prize : Ipad pro
2nd Prize : Bose wireless headphone
3rd Prize : Kindle Oasis
Contest Guidelines
** Only full-time students (enrolled in Bachelors, Masters or PhD programs) from India are eligible for prizes
** The competition starts at 00:00 hours (UTC + 5:30 ) on 10th February, 2018 and closes at 23:59 hours on 19th February, 2017 (UTC + 5:30)
** Participants can only use free open source software (MS-office is fine)
** Individual participation only (no team formation)
** One person cannot participate with more than one user account.
** External data sets and sources cannot be used in the modeling exercise
** Winners will be required to make a presentation (over skype) to explain the algorithm and methodology of solving this problem
FAQs
1. Who is a full-time student?
Full-time students include students enrolled in full-time Bachelors, Masters and PhD programs
2. I am enrolled in a part-time course, will I be considered as an eligible student?
No
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