Data Mining and its Applications

Uitgebreide vaknaam	Data Mining and its Applications
Leerdoelen	Upon completion of the course the student is able to: 1. Structure (practical) problems using appropriate techniques 2. Adequately explore, manipulate, and represent data from practice 3. Apply theories and methods of data mining to real situations and relate the theories to practical cases 4. Write a clearly structured research report (in a team setting).
Omschrijving	Data Mining and its Applications focuses on the application of data mining techniques to practical problems. The starting point is a large amount of data that needs to be analyzed and used to support practical decisions. Students learn how to explore and visualize empirical data and find patterns, using appropriate data mining techniques, in order to create useful information and/or input data to be used in models or methods to solve the practical problem. The assignments cover practical problems related to the design, planning & control, and improvement of various business processes and use cases.
Uren per week	3
Onderwijsvorm	-computer practicum,  -hoorcollege
Toetsvorm	-groepsopdracht,  -schriftelijk tentamen (open en mc vragen)
Vaksoort	bachelor
Coördinator	prof. dr. C. Emmanouilidis
Docent(en)	prof. dr. C. Emmanouilidis ,dr. L. Maruster
Verplichte literatuur	Titel Auteur ISBN Prijs Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data, 2nd Edition Berthold, M.R., Borgelt, C., Hoppner, F., Klawonn, F., and Silipo, R.
Entreevoorwaarden
Opmerkingen	For more information contact the secretariat: +31 50 363 7020 or +31 50 363 7491
Opgenomen in	Opleiding Jaar Periode Type BSc Bedrijfskunde/Bdk  ( Technology Management/TM) 2 semester II b verplicht