Advanced Summer School on Data Science for Big Data, 2-5 July 2018, Portugal

Publish Date: Mar 28, 2018

Deadline: May 31, 2018

Event Dates: from Jul 02, 2018 12:00 to Jul 05, 2018 12:00

EAIA 2018

Scope: 

Data Science and Big Data are not only hot topics but also essencial to current society. Economy, health, agriculture, energy, media, education, industry, mobility, leasure and all other human activities rely more and more on the advanced processing of large quantities of data.

This proposal is based onlarge experience as lecturers and as organizers of previous Summer Schools such as "Summer School On Data Sciences For Big Data - Resource Aware Data Mining" in Porto, associated to ECML PKDD 2015.

REGISTRATION

Registrations include attendance of all sessions, coffee breaks and lunches.

Registration fees:

  Students Appia* Industry
Early Fees 250€ 350€ 500€
After 25 May 2018 300€ 400€ 600€

* Appia members and researchers

The program has a limit on the number of registrations (70 attendees), please register early! 

All participants will receive a letter of confirmation within three working days via e-mail after we receive the payment.

VENUE

Department of Computer Science, Faculty of Sciences, University of Porto

How to get to the venue with public transportation

  • By subway: the nearest subway station is "Casa da Música" (lines A, B, C and E) at a walking distance of about 15m. For more information see the official page: "Metro do Porto" 
  • By bus: the nearest bus stop is "Casa das Artes", served by four different regular lines: 200, 204, 207 and 504. This stop is right in front of the venue. For more information see the official page: STCP - Porto Public Bus (lines map)
  • By train: Porto's main train stations are "S. Bento" and "Campanhã". Both are served by subway stations. Line 207 also passes through both train stations and the bus stop at the venue.

For more information click "LINK TO ORIGINAL" below.


This opportunity has expired. It was originally published here:

http://eaia2018.dcc.fc.up.pt/?utm_source=ARMACAD.info&utm_medium=ARMACAD.info

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Disciplines

Data Sciences

Economics

Education

Media

Sociology

Opportunity Types

Study

Eligible Countries

International

Host Countries

Portugal

Conference Types

Call for Papers