Course: Data Modeling

» List of faculties » EF » KIN
Course title Data Modeling
Course code KIN/DAM-D
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 Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Šimonová Stanislava, doc. Ing. Ph.D.
Course content


Learning activities and teaching methods
Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments), Individual consultation
  • Class attendance - 280 hours per semester
Learning outcomes
The course objective is acquire theoretical knowledge, practices and principles of data modeling themes in particular for use in improving the efficiency and effectiveness of business processes
Student gains skills required to design specific communication protocol and verify its behavior.
Prerequisites
no-specified

Assessment methods and criteria
Oral exam, Student's performance analysis

Recommended literature
  • CORONEL. C., MORRIS, S., ROB, P., CROCKETT, K. Database Principles ? Fundamentals of Design, Implementation and Managment.. Andover Cengage Learning EMEA, 2013. ISBN 978-1-4080-4863-4.
  • ERIKSSON, H., PENKER, M., LYONS, B., FADO, D. UML 2 Toolkit. Indianapolis: Wiley, 2004. ISBN 0-471-46361-2.
  • KIRCHMER, M. High Performance Through Process Excellence ? From Strategy to Execution with Business Process Management.. Heidelberg Springer-Verlag, 2011. ISBN 978-3-642-21164-5.
  • ŠIMONOVÁ, S. Modelování procesů a dat pro zvyšování kvality.. Univerzita Pardubice, 2009. ISBN 978-80-7395-205-1.
  • TEOREY, T., LIGHTSTONE, S., NADEAU, T., JAGADISH, H. V. Database Modeling and Design ? Logical Design.. USA: Morgan Kaufmann Publishers, 2011. ISBN 978-0-12-382020-4.


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