Lecturer(s)
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Šimonová Stanislava, doc. Ing. Ph.D.
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Course content
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unspecified
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
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Learning outcomes
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The aim of the course it to acquire theoretical knowledge, methods and principals of data modelling issues, particularly for application in terms of performance and efficiency improvement of enterprise processes.
Students are led to independent work on project development of the subject matter. Students will acquire knowledge which exploits for their doctoral dissertation.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Home assignment evaluation, Self project defence
Students within the project independently search problems solvable by means of methods contained in a course, present the partial and final solution, ideas advocate in discussion.
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Recommended literature
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Coronel,C. Database Principles - Fundamentals of Design, Implementation, and Management. Andover Cengage Learning EMEA, 2013.
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Kirchmer, H. High Performance Through Process Excellence ? From Strategy to Execution with Business Process Management. Heidelberg Springer-Verlag, 2011.
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Teorey, T., Lightstone, S., Nadeau, T., Jagadish, H. Database modeling and design. 2011.
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