FI:PB114 Data Modelling I - Course Information
PB114 Data Modelling IFaculty of Informatics
- 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:
PB114/02: 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
- 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.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/spring2013/PB114