Lecturer(s)
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Šimonová Stanislava, doc. Ing. Ph.D.
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Course content
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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 will use 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
Completion and successful defense of project from the field of dissertation work.
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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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