Algemene informatie
Vakcode | E_MM_BIA |
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Studiepunten | 6 EC |
Periode | P2 |
Vakniveau | 300 |
Onderwijstaal | Engels |
Faculteit | School of Business and Economics |
Vakcoördinator | M. Shafeie Zargar |
Examinator | M. Shafeie Zargar |
Docenten |
dr. A.C. Smit M. Shafeie Zargar dr. M.G.A. Plomp |
Praktische informatie
Voor dit vak moet je zelf intekenen.
Voor dit vak kun je last-minute intekenen.
Werkvormen | Werkcollege, Hoorcollege, Responsiecollege |
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Doelgroepen
Dit vak is ook toegankelijk als:
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.
Doel vak
Quantitative Skills•Using business intelligence and data mining suites to create insight
from data and tackle business problems
Knowledge
•Defining, describing and recalling the basic concepts, constituent
components, principles and theories underlying the use and the
deployment of business intelligence & analytics solutions.
Bridging Theory and Practice
•Choosing, applying, and evaluating business intelligence & analytics
concepts, principles and solutions to solve business problems.
Inhoud vak
Dealing with the overabundance of data and the ability to transform datainto insights have become critical success factors for organizations.
This course offers the handles that are needed to unleash the potential
of data, and business intelligence and analytics solutions in order to
create competitive advantage. The course primarily has a managerial
focus. The students will acquire hands-on experience with trending BI&A
technologies to learn how to use their features and characteristics in
practice. Our partners from the industry and the business consulting
sector will be closely involved in the course, sharing their insights
and experience during several interventions.
Keywords in this area are ‘big data’, ‘data science’, ‘business
intelligence’, ‘data mining’ and ‘data-driven decision making and
innovations’.
Onderwijsvorm
LecturesTutorials
Workshops
Toetsvorm
Assessment Written exam – Individual assessmentInterim Assignment(s) / Tests:
Analytics practicum tests – Individual assessment
Literatuur
This course is article based.Readings will be announced in the course manual.
Aanbevolen voorkennis
Recommended knowledge Elementary course on (Management) InformationSystems (for example: Laudon, K.C. & Laudon, J.P. (2016). Essentials of
MIS (12 th edition).
Knowledge of the fundamentals of statistics.
Course Introduction to Digital Innovation (SBE, Period 3.1).
BK: 2.1 Business Information Technology
IBA: 2.1 Business Information Systems