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Lecturer(s)
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Šimonová Stanislava, doc. Ing. Ph.D.
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Course content
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Aspects of data relevance. Data and functional modeling, methods and tools. Abstract programming. Data modeling approaches, blending of approaches. Linkage of data and process modeling. Identification of data indicators for monitoring and evaluation. Development trends in public administration organizations.
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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.
The student will be able to apply data modeling methods and in connection with process modeling methods, will be able to choose appropriate techniques and tools for data modeling of business processes, will model data indicators for monitoring and evaluating quality and performance.
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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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Hills, T. NoSQL and SQL Data Modeling.. 2016. ISBN 978-1634621090.
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