FI:PB114 Data Modelling I - Course Information

PB114 Data Modelling I

Extent and Intensity

2/2. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).

Teacher(s)

RNDr. Zdenko Staníček, Ph.D. (lecturer)
Ing. Mgr. Jiří Šmerda (seminar tutor)
RNDr. Zdeněk Vrbka (seminar tutor)
Mgr. Marek Winkler (seminar tutor)

Guaranteed by

prof. RNDr. Václav Matyáš, M.Sc., Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics

Timetable

Tue 8:00–9:50 D3

• Timetable of Seminar Groups:

PB114/01: Tue 14:00–15:50 C525, J. Šmerda
PB114/02: Tue 18:00–19:50 B204, M. Winkler
PB114/03: Thu 8:00–9:50 B011, Z. Vrbka

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

• Applied Informatics (programme FI, B-AP)
• Bioinformatics (programme FI, B-AP)
• Informatics with another discipline (programme FI, B-BI)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-GE)
• Informatics with another discipline (programme FI, B-GK)
• Informatics with another discipline (programme FI, B-CH)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-SO)
• Informatics with another discipline (programme FI, B-TV)
• Informatics (programme FI, B-IN)
• Mathematical Informatics (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, B-IN)
• Computer Graphics and Image Processing (programme FI, B-IN)
• Computer Networks and Communication (programme FI, B-IN)
• Computer Systems and Data Processing (programme FI, B-IN)
• Programmable Technical Structures (programme FI, B-IN)
• Artificial Intelligence and Natural Language Processing (programme FI, B-IN)

Course objectives

The course contains basic knowledge of a general connections modelling within a business reality - the so called conceptual modelling.

Syllabus

• 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

Literature

• 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

Assessment methods (in Czech)

Ke zkoušce je vyžadována domácí práce -- návrh datového modelu části organizace nebo rozbor předloženého problému. Zkouška je písemná a má dvě části -- test a tvorba datového modelu vybraného dílčího problému.

Language of instruction

Czech

Further Comments

Study Materials
The course is taught annually.

• Enrolment Statistics (Spring 2008, recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2008/PB114