Collaborative Data Project

Uitgebreide vaknaam	Collaborative Data Project
Leerdoelen	1) Understanding data cycles 2) Understanding dimensions of data 3) Evaluate data 4) Understanding scope and nature of skills for data projects 5) Apply programming skills 6) Interaction with data-specialists 7) Assess and formulate work needed for sharing, using and transforming data 8) Identify innovative potential of data 9) Awareness of value of data and of potential opportunities 10) Recognize how frameworks (guidelines, codes, regulations) apply to different data processes 11) Identify ethical issues and how to address them
Omschrijving	The Collaborative Data Project is central to the minor Data Wise. The projects are “real” projects proposed by external parties. For instance, a data science project proposed by the Policy, Gemeente Groningen, or a company. One company that has already committed to pursuing a project with students from the minor is “Trust the Source”; a company that tries to develop a program for journalists in which they can check the likelihood of particular information to be “fake news”. Many more options for projects will be presented in the first weeks of the Minor. In each project, students work with data provided by the external partner in order to answer a complex question or solve a practical problem. Multidisciplinary teams of around 5 students will work on this project for 16 weeks. Students collaborate intensively, regularly reporting to the project supervisor and to the external partner. Students will use the knowledge obtained in the general course "Introduction to Data" to address the role of data in society, techniques of data science and data infrastructure, legal and ethical issues, and principles of responsible data management in the practical context of their project. The intensive teamwork in this project will be supported by the course Dynamics of Multi-disciplinary Teams. Additional skills that students/groups need to fulfill the project can be gained through the elective courses.
Uren per week	variabel
Onderwijsvorm	intervisie (Project-based learning)
Toetsvorm	verslag (Presentation at end of project (30%) Progress report (40%) Final report (30%))
Vaksoort	bachelor
Coördinator	D.M. Bakker, MSc.
Docent(en)	D.M. Bakker, MSc. ,dr. J.A. Beaulieu ,prof. dr. A. Flache ,prof. dr. M. Nissim , G. Stulp, PhD.
Verplichte literatuur	Titel Auteur ISBN Prijs Each project will have its unique set of resources.
Entreevoorwaarden	Enrollment in the minor
Opmerkingen
Opgenomen in	Opleiding Jaar Periode Type Minor Data Wise: data science in society 3 semester I verplicht