Hackathon

The Hackathon Tilburg is organized by Asset | Econometrics, Asset | SBIT and D.S.A. Pattern. Are you interested in Artificial Intelligence and Data Science? Or are you interested in applying these techniques to business problems? Then this event is the perfect fit for you! On this day three companies, DHL, Eyeon and VVA, will provide a business case and a data set. You are free to find solutions using Data Science and AI techniques, while the companies support students with their approach and programming choices. During the event, you will learn hard skills like data preparation and programming, as well as soft skills like presenting. There will be a full day of interaction with the companies about the business case. In this way you will get to know the companies. Furthermore, during lunch, dinner and drinks, you will have the possibility to talk in a more informal setting.

The programme of the day is as follows:

09.00 - 09.30 Arrival at the Esplanade Building (Black Box)
09.30 - 10.30 Introduction & workshop by DHL
10.30 - 12.15 Hackathon
12.15 - 13.00 Lunch
13.00 - 15.00 Hackathon
15.00 - 15.45 Informal Activity
15.45 - 17.00 Hackathon
17.00 - 18.00 Presentations
18.00 - 20.00 Three-course dinner
20.00 - 21.00 Winners presentations & awards
21.00 - 22.00 Informal drink

Registrations have opened! Be sure to register in time, as there are limited spots available.


Registration
All econometrics, Data Science and Information Management students who are interested can register! Please note that you need to be a member of Asset in order to register for this event. Are you not a member of Asset yet? Read more about all the benefits of becoming a member here.

Date
Took place on September 27, 09.00h September 27, 22.00h
Registration Deadline
September 21, 15:47h
Location
Tilburg University
Participating companies
DHL
VVA
Eyeon

Committee

This event is organized by the Hackathon Committee in collaboration with SBIT and Pattern.

Interesting for

Third year and higher students and students from the masters BAOR, EME, Data Science and Information Management.

Participation Fee

This event is for free. Travel costs, lunch, dinner and goodie bag are all covered.

Dresscode

Business Casual

Registration for this event is closed...

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