FI:PA116 Domain Modeling - Course Information
PA116 Domain Understanding and Modeling
Faculty of InformaticsAutumn 2012
- 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)
RNDr. Pavel Minařík, Ph.D. (seminar tutor)
Mgr. Filip Procházka, Ph.D. (seminar tutor)
Mgr. Jitka Kitner (assistant) - Guaranteed by
- prof. RNDr. Luděk Matyska, CSc.
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 D2
- Timetable of Seminar Groups:
PA116/02: Mon 7:00–8:50 B411, P. Minařík
PA116/03: Tue 8:00–9:50 B410, Z. Staníček
PA116/04: Mon 16:00–17:50 G123, Z. Staníček - Prerequisites
- (! PV116 Data Modelling II && 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
- Applied Informatics (programme FI, B-AP)
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics with another discipline (programme FI, B-EB)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (eng.) (programme FI, D-IN4)
- Informatics (programme FI, D-IN4)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems and Technologies (eng.) (programme FI, D-IN4)
- Computer Systems and Technologies (programme FI, D-IN4)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- 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
- Enrolment Statistics (Autumn 2012, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2012/PA116