Tampereen teknillinen yliopisto
 
       
 

Upcoming events

TUT’s Event Bulletin for companies

   
       
       
   

Health@Tampere3-seminar: Digitalization in health and health care systems

The seminar invites researchers and actors in various fields around health from both academia and industry to discuss, network and plan new research openings.
Seminar is organized by Tampere University of Technology, University of Tampere and Tampere University of Applied Sciences.

Time: 10.11.2017 at 13:00 - 16:00
Place: Sokos Hotel Torni, 2nd floor, Tampere

 
         
 
         
 

AI morning @Kampusklubi

Join us for a great discussions and interesting introductions about AI! We are arranging a series of forums to discuss and learn about artificial intelligence. AI Morning is free of charge for everyone. Coffee is served by Kampusklubi.

Time: 17.11.2017 at 9:00 - 12:00
Place: Tampere University of Technology, Kampusareena, 5th floor, Tampere

   
         
 
     
 

1st international conference on Mobility as a Service

The 1st International Conference on Mobility as a Service (ICoMaaS) provides the delegates inspiration and ideas for further developments in revolutionizing the everyday life of people. The conference covers all aspects related to Mobility as a Service and welcomes both scientific papers and presentations of business cases. Last registration date 13 November 2017.

Time: 28.- 29.11.2017
Place: Sokos Hotel Torni, Tampere

 
     
 

Technology Research News

 
     
 
         
 

Frontiers in Data Science – new book published

Data Science is a new interdisciplinary field at the interface between computer science, statistics and application domains, e.g., medicine, biology, finance or social science. Due to technological progress in these fields allowing the generation of large amounts of data the demand for an overarching concept is urging.

Frank Emmert-Streib and his colleague Matthias Dehmer published the book Frontiers in Data Science to deal with practical and theoretical aspect of the field. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone. To read more about the book, please visit the website of CCRC Press

Further information:
Professor Frank Emmert-Streib, Predictive Medicine and Data Analytics Lab, TUT, tel.  +358 50 3015353, frank.emmert-streib@tut.fi
Professor Matthias Dehmer, UMIT, Matthias.dehmer@umit.at