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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, Approaches. Interconnection of data and process modeling. Identification of data indicators for monitoring and evaluation. Trends in development 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 is to acquire theoretical knowledge, procedures and principles of data modeling especially for use in improving the efficiency and effectiveness of business processes.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Student performance assessment, Discussion
The form of the examination represents the presentation of the final solution of the individual project by the student, where the student defends the outputs and acquired knowledge in a professional discussion. The student is led to work on the project from the subject matter. Within the project, the student independently searches for problems solved by the methods contained in the subject, presents partial and final solutions of his project, defends the acquired knowledge in a professional discussion.
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Recommended literature
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Huawei Technologies. Database Principles And Technologies ? Based On Huawei Gaussdb. 2023.
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