FI:PA116 Domain Modeling - Course Information

PA116 Domain Understanding and Modeling

Extent and Intensity

2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).

Teacher(s)

RNDr. Zdenko Staníček, Ph.D. (lecturer)
Mgr. Vladimír Dosoudil (seminar tutor)
Mgr. Bc. Petra Komárková, Ph.D. (seminar tutor)
RNDr. Pavel Minařík, Ph.D. (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

Wed 18:00–19:50 D2

• Timetable of Seminar Groups:

PA116/01: Mon 18:00–19:50 B204, V. Dosoudil
PA116/02: Wed 8:00–9:50 B410, M. Winkler
PA116/03: Thu 18:00–19:50 B411, P. Komárková
PA116/04: Fri 8:00–9:50 C525, P. Minařík
PA116/05: Thu 16:00–17:50 C511, P. Komárková

Prerequisites

(! PV116 Data Modelling II && PB114 Data Modelling I ) || SOUHLAS
The knowledge of introductory database and data modeling courses are required.
It is recommended to enrol this course after succesful pass in PB114 Data Modeling I. For those who didn't pass their bachelor degree at FI MU it is possible to enrol this course after consultation and evaluation by the lecturer--Zdenko Stanicek.

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 32 fields of study the course is directly associated with, display

Course objectives

Systematic approach to understanding of the domain in which a service system will operate based on conceptual modeling. Semantics modeling of services underlying structures.
At the end of this course students should be able to:
understand the step-by-step service system modeling, management, and evaluation;
use analytical patterns in data modeling and perform component consolidation;
manage knowledge and information;
understand conceptual systems, higher-order objects, and their role in service systems design;
work with abstract data types and use OOP and connection oriented paradigm;
design conceptual and behavioral models of a given domain.

Syllabus

• Systematic approach to understanding of the domain in which a service system will operate based on conceptual modeling. Semantics modeling of services underlying structures.
• Service systems and how to understand its domain
• Transparent intensional logic and natural language analysis
• Information, knowledge and their modeling
• Concepts and objects, high order objects
• HIT-attributes, definability, decomposability. Semantics and information capability
• Modeling, modeling tools, modeling capability, universality principle, self-reference, MENTION-USE principle
• OO approach, data abstractions, OO software construction and OO analysis. Issues in OO analysis
• Connection oriented paradigm (COP). Service system domain understanding and modeling using COP approach.

Literature

• Duzi, Marie: Logical Foundations of Conceptual and Database Modelling. http://www.cs.vsb.cz/duzi/
• Stanicek, Zdenko: SSME* - Service Systems, Modeling, Execution, Education. To appear 2009
• Fowler, M. Analysis Patterns: Reusable Object Models. Reading, MA: Addison-Wesley, 1997

Teaching methods

lectures, class discussion, group projects, presentations homeworks

Assessment methods

A seminar work is required to the exam consisting in conceptual description of a choosen domain of service system in both, a structure and a behavior dimensions. The exam can consist from written part and discussion on learned topics with respect to seminar work.

Language of instruction

English

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://kirlab.fi.muni.cz/en:homepage

• Enrolment Statistics (Autumn 2009, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2009/PA116