System engineering

The course is not on the list Without time-table
Code Completion Credits Range
A14SI Z,ZK 4 2+1
Department of Applied Informatics in Transportation

The digest of aggregate mind essence from view of knowledge is the subject's target; i.e. it could help to provide integer cognition as aggregation of parts with certain (target) dynamics. In addition, it could acquaint students with standard analysis methods and synthesis (projecting) of objects with system identification from the methodology view.

Syllabus of lectures:

1.Introduction to problems, explanation of basic terms. Introductory terms; system definition and its development to so called advanced system definition including dynamics, specification and complex identity; examples of various system types in practice

2.System identification; identification steps beginning in distinctive level choice and ending in system teleology and type identification, metrics, system identification languages, system heterogeneity and its homogenisation.

3.System homogenisation levels; system space existence conditions, multisystem, hybrid system, and virtual system definition.

4.System problems; problems of/on/for system, system problems integrity.

5.System analysis problems. Parts continuity problems (interface and interface regularity level problems).

6.System analysis problems. Problems of processes on system (chained parts traces problems, autarchic and opened behavior problems).

7.System analysis problems. Systems kind properties problems (genetic code, genetic algorithms, kind preservation, accident, and disaster problems).

8.System analysis problems. System environment existence problems (system identity problems).

9.System design. System architecture definition, model construction (project) of development, pragmatic, and real type, types evaluation.

10.Construction models: decomposition („from above down“), composition („from bellow above“).

11.Modular designing, „model“ (standard, type) modification designing, methods evaluation.

12.„Hard“ and „soft“ systems; differences between both types, „softness“ sources, presence of social elements and their creativity, cognition imperfection (e.g. in form of „hidden faults“ existence), methodologies identifying „softness“: fuzzy relations axiomatic methods, similarity measures, kind competence measures, infrastructure external restrictive conditions, exercise in analysis and system design by reliability measure and sensitivity.

13.System examples. Production systems, traffic systems, social systems.

14.Systems identification methods application in examples.

Syllabus of tutorials:
Study Objective:
Study materials:

Jones, M.: The Practical Guide to Structured Systems Design, Practice - Hall, 1988

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2020-01-23
For updated information see http://bilakniha.cvut.cz/en/predmet24388905.html