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Kursusbeskrivelse
Kursusnavn (dansk):Big Data Processes 
Kursusnavn (engelsk):Big Data Processes 
Semester:Forår 2015 
Udbydes under:cand.it., Digital Innovation & Management (dim) 
Omfang i ECTS:7,50 
Kursussprog:Engelsk 
Kursushjemmeside:http://www.itu.dk/courses/BIDAP/F2015/ 
Min. antal deltagere:12 
Forventet antal deltagere:80 
Maks. antal deltagere:90 
Formelle forudsætninger: Please note the course schedule: Thursdays 14-18

Foundations in Development of IT or similar. 
Læringsmål:After the course the students should be able to:

1. Analyse and discuss the technological trends that underlie Big Data
2. Analyse and discuss how organisations can use analytics to gain critical insights
3. Design, conduct and report results of analytics and visualisation in a specific case
4. Reflect upon the role of personal data in Big Data processes
5. Analyse and discuss the potential pitfalls of Big Data processes 
Fagligt indhold:Business, governmental or non-governmental organisations increasingly rely on big data to shape data-driven processes.
Such big data processes, based on the discovery of meaningful patterns in data, can be used to analyse complex pheonomena
or to build predictive models. In this class, we will review the technological trends that underlie the advent of big data.
We will discuss the potentials of big data processes and their limitations from a technical, ethical and organisational points
of views, specially in the cases where personal data is involved. 
Læringsaktiviteter:

The class is based on a combination of lectures, hands-on analytics with Tableau Public, and workshops where we discuss in-depth a topic related to big data processes. 

Obligatoriske aktivititer:Der er ingen obligatoriske aktiviteter. Vær venlig KUN at ændre denne tekst når der er obligatoriske aktiviteter./
There are no mandatory activities. Please, change this text ONLY when there are mandatory activities. 
Eksamensform og -beskrivelse:D2G Aflevering med mundtlig eksamen der supplerer projekt. Delt ansvar for projekt.

Reports are handed in by groups and students are examined as a group and evaluated on the basis of demonstration of fulfilment of the intended learning objectives for the course.

The hand in should be 6-8 pages per group.

Duration of the exam: 30 minutes per group incl. assessment and feedback  

Litteratur udover forskningsartikler:Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses
Michael Minelli, Michele Chambers, Ambiga Dhiraj
Wiley
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-111814760X.html 
 
Undervisere
Følgende personer underviser på kurset:
NavnStillingUndervisertypeIndsats (%)
Philippe Bonnet Lektor(ITU) Kursusansvarlig 50
Nanna Gorm Jensen Ph.d.-studerende(ITU) Underviser 50
Martin Clausen Hjælpelærer(ITU) Hjælpelærer 0
Carl Johan Rising Hjælpelærer(ITU) Hjælpelærer 0