This course deals with the theory concerning business intelligence as well as with the application of business intelligence solutions. To be able to successfully implement business intelligence solutions, one has to have knowledge about their functioning and proficiency in using them, as well as knowledge about their field of application, e. g., how to select, transform, integrate, condense, store and analyze relevant data. This course uses the term 'business intelligence & analytics' in a broad sense. The broad interpretation - to be used in this course - also includes: theories concerning decision making, related decision support systems and their application for management, i. e., data warehousing, online analytical processing, big data and data mining.
In this course we will treat a number of techniques and representation formats (RDF, OWL) that stand at the basis of the future of Web. The course discusses a number of application scenario's such as e-commerce, search, navigation, and format-independent publishing.
De werking van zoekmachines doorgronden en zelf zoekmachines leren maken. Service Science: Service science is organized in two tracks: (i) a business track and (ii) an IT track. The business track provides the students with the knowledge of different interpretations of ‘service’ and economic importance of services, strategic issues related to services as well as approaches to develop services. The IT track deals with a model-based approach to develop services, as well as service oriented IT development. Special emphasis is given to bridge the gap between business and IT.
Students have to choose one of the four predefined problems and try to solve it. The problems range from combinatorial optimisation (airline scheduling) to game playing (free cell). The course offers software support for each problem, including user interface and quality assessment procedures for candidate solutions. The "only" missing part is the problem solving algorithm. Teams of three students endeavour to find and implement an algorithm and report on the results.Voor meer informatie over de vakken, bezoek de studiegids.
VU-studenten vinden informatie over het volgen van een minor op VUnet (inloggen met je VUnet-ID).
Voor meer informatie, bekijk de aanmeldprocedure.
1 semester (30 EC)
Informatica, Wiskunde en Bedrijf