Course: Data Modelling

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Course title Data Modelling
Course code FES/ADAMI
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Šimonová Stanislava, doc. Ing. Ph.D.
Course content
The subject is NOT taught in the academic year 2015-2016.

Learning activities and teaching methods
Dialogic (discussion, interview, brainstorming), Laboratory work
Learning outcomes
The subject is NOT taught in the academic year 2015-2016.
Students are led to independent work on project development of the subject matter. Students will acquire knowledge which exploits for their doctoral dissertation.
Prerequisites
unspecified

Assessment methods and criteria
Home assignment evaluation, Discussion, 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.
Recommended literature
  • Coronel,C. Database Principles - Fundamentals of Design, Implementation, and Management. Andover Cengage Learning EMEA, 2013.
  • Eriksson,H. UML 2 Toolkit. Indianapolis: Wiley, 2004.
  • Teorey, T., Lightstone, S., Nadeau, T., Jagadish, H. Database modeling and design. 2011.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics and Administration Study plan (Version): Informatics in Public Administration (2014) Category: Economy - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Economics and Administration Study plan (Version): Informatics in Public Administration (2014) Category: Economy - Recommended year of study:-, Recommended semester: -