PB114 Data Modelling I

Faculty of Informatics
Spring 2013
Extent and Intensity
2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
RNDr. Zdenko Staníček, Ph.D. (lecturer)
Mgr. Jan Rosecký (seminar tutor)
Guaranteed by
doc. RNDr. Vlastislav Dohnal, Ph.D.
Department of Computer Systems and Communications - Faculty of Informatics
Supplier department: Department of Computer Systems and Communications - Faculty of Informatics
Tue 16:00–17:50 G126, Fri 14:00–15:50 G123
  • Timetable of Seminar Groups:
PB114/01: Tue 8:00–9:50 C525, J. Rosecký
PB114/02: Wed 18:00–19:50 G125, J. Rosecký
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 21 fields of study the course is directly associated with, display
Course objectives
The course contains basic knowledge of a general connections modelling within a business reality - the so called conceptual modelling.
At the end of this course, students should be able to:
describe particular domain in a well created and well recorded conceptual data model;
recognize well created data model;
understand basics of logical analysis of natural language expressions;
understand principles of constructions and simple type theory within the transparent intensional logic.
  • The organisation/enterprise data model and its role as a performance specification in projects of IS development and implementation
  • Data modeling by using relational data model end by using the Chen's ERA model
  • Logical base of DM, transparent intensional logic (TIL), episthemic base, functional approach, the sorts and the process of sortalization, function construction
  • Entity sorts, their identifying and definition, relationships and their modeling, expression of the semantics, hierarchy of supertypes and subtypes, the identity problem
  • Definability and decomposibility of attributes, information capability, binarisation theorem
  • Duží, Marie. Konceptuální modelování (Datový model HIT). Skripta. Slezská universita, Opava, duben 2000
  • MATERNA, Pavel, Karel PALA and Jiří ZLATUŠKA. Logická analýza přirozeného jazyka. 1. vyd. Praha: Academia, 1989. 143 s. ISBN 80-200-0027-5. info
Teaching methods
lectures, seminars, group projects
Assessment methods
To the exam a homework is required consisting in data model of a selected organization or in analysis of a selected problem. The exam is written. First part is a test and the second one is creation of data model according to a given description of a situation.
Language of instruction
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012.
  • Enrolment Statistics (recent)
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