PA116 Domain Understanding and Modeling

Faculty of Informatics
Autumn 2013
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)
Mgr. Michal Oškera (seminar tutor)
RNDr. Zdenko Staníček, Ph.D. (lecturer)
RNDr. Pavel Minařík, Ph.D. (seminar tutor)
Mgr. Filip Procházka, Ph.D. (seminar tutor)
Mgr. Jitka Kitner (assistant)
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
Timetable
Tue 18:00–19:50 G123
  • Timetable of Seminar Groups:
PA116/01: each odd Monday 16:00–17:50 G126, P. Minařík
PA116/02: each even Monday 16:00–17:50 G126, P. Minařík
PA116/03: each odd Monday 8:00–9:50 G331, F. Procházka
PA116/04: each even Monday 8:00–9:50 G331, F. Procházka
PA116/05: each odd Monday 18:00–19:50 G330, M. Oškera
PA116/06: each even Monday 18:00–19:50 G330, M. Oškera
Prerequisites
PB114 Data Modelling I
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
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 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 and contexts.
Literature
  • Duzi, Marie: Logical Foundations of Conceptual and Database Modelling. http://www.cs.vsb.cz/duzi/
  • Stanicek, Zdenko: SSME* - Service Systems, Modeling, Execution, Education. Manuscript
  • 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://seslab.fi.muni.cz/en:homepage
The course is also listed under the following terms Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2013, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2013/PA116