Predicting Food Behaviour with Big Data and Small Sensors (2017)

Welcome to Predicting Food Behaviour with Big Data and Small Sensors

 

Description: Learning goals

The students should know about the potentials of applying consumer as Well as business generated data in consumer, food and health studies. The students should know about latest inventions in ICT assisted devices for food studies. The students will perform a Written Group Assignment on Ethics, privacy or business aspect of data/sensor Technologies

Organizer: Professor Bent Egberg Mikkelsen, email: bemi@dcm.aau.dk

Lecturers: Bent Egberg Mikkelsen, Krijn Poppe, Marc Jeroeme Bogart and Kwabena Ofei

ECTS: ?

Time: Autumn 2017

Place: Aalborg University Copenhagen

Zip code: 2450

City: Copenhagen SV

Number of seats: 20

Deadline:

Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.