|
Lecturer(s)
|
|
|
|
Course content
|
|
|
Learning activities and teaching methods
|
|
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Methods of individual activities, Laboratory work
|
|
Learning outcomes
|
The aim of the course is to acquaint students with the tools of data analysis and modeling socio-technical systems suitable for decision support. Students learn to think in context. Another benefit of the course is to teach students when, where and how to use appropriate tools for managerial decision making.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Written examination, Systematic monitoring
|
|
Recommended literature
|
-
Berka, Petr. Dobývání znalostí z databází. Praha: Academia, 2003. ISBN 80-200-1062-9.
-
Laurenčík, M. EXCEL pro management, ekonomy a podnikatele.. Computer Media, 2012. ISBN 978-80-7402-096-4.
-
Meloun, Milan. Kompendium statistického zpracování dat : metody a řešené úlohy včetně CD. Praha: Academia, 2002. ISBN 80-200-1008-4.
-
Petr, P. Data Mining (skripta). Pardubice: Univerzita Pardubice, 2006.
-
WITTEN, I.H., FRANK, E., HALL, M.A. Data Mining: Practical Machine Learning Tools and Techniques. Amsterdam, 2011.
|