Course: Algebraic Theory of Systems 1

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Course title Algebraic Theory of Systems 1
Course code KAG/ATS1
Organizational form of instruction Seminar
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Chajda Ivan, prof. RNDr. DrSc.
Course content
The concept of system and subsystem, relativity of systems, structure and behavior of systems. Analysis and synthesis, decomposition of systems. The language of systems, linguistic variable. Descriptions of the past, presence and future of, systems, prognosis.

Learning activities and teaching methods
Lecture
Learning outcomes
The goal is to set up basis of theory of systems with practical ability for application in information and contral systems.
2. Comprehension There are classified various systems, their structure and behaviour. It is explained how to predict states of systems.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Written exam

Attendance in the seminar, working out the seminar thesis.
Recommended literature
  • Ashby W. R. (1960). Úvod do kybernetiky. Orbis Praha.
  • Gluškov V. M. (1968). Úvod do kybernetiky. Academia Praha.
  • Chajda I. (1992). Úvod do algebraické teorie systémů. UP Olomouc.
  • Klír J. (1985). Architecture of Systems Problem Solving. Plenum Press, New York.
  • M. Infante. (2013). Systemic Boundary. Nature and Human Sciences and Complexity Journal.
  • N. Luhmann. (2013). Introduction to System Theory. Polity.
  • T. Brukner, J. Voříšek, A . Buchalková a kol. (2012). Tvorba informačních systémů: Principy, metodiky, architektury. Grada Publishing.
  • Vlach M. (1975). Optimální řízení regulovatelných systémů. SNTL Praha.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics (2023) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter