Course: Information and systems

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Course title Information and systems
Course code KIN/IS
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Skrbek Jan, doc. Ing. Dr.
  • Žižka Tomáš, Mgr. Ph.D.
Course content
Lectures: 1. Basic concepts - informatics, information systems, paradigms. 2. Fundamentals of system science, system concepts and principles, feedback, complexity, self-organization, types of systems. 3. The concept of information, information barriers, information congestion 4. Information levels, signals, characters, data 5. Meaning of information, value of information, competence, information and knowledge 6. Signal processing and transmission, transmission channel, types of modulation, characters 7. Fundamentals of Cybernetics - Control and Automation Management, Models and Modeling, Information and Vague. 8. Information in Social Systems - Semiotic concepts of information, knowledge, qualitative and quantitative information, 9. Codes and coding, numeric and character codes, redundancy, compression 10. Computer history and classification, basic computer concepts, von Neuman's PC application 11. Security, privacy, cyber terrorism, internet threats 12. Information, Changes and Society - Informatisation and the Global World, Technological Changes and Their Impact on Society, 13. Information system in the enterprise 14. Advanced ICT Applications (Artificial Intelligence, Neural Networks, Data Mining, Business Intelligence) Seminars: In addition to the general algorithm design, the seminars include practical exercises in the selected programming language. 1. Specification and specification of the requirements for the preparation of the semester project. Theoretical introduction to problems of algorithmization - definition of basic concepts, properties of algorithms. 2. Methods of representation of algorithms - flowchart, computer programs. 3. Fundamentals of UML. 4. Simple algorithms. 5. Recursive algorithms. 6. Analysis of the complexity and effectiveness of algorithms. 7. Data types and structures. 8. Sorting algorithms. 9. Removing recursion and optimizing algorithms. 10. Search algorithms. 11. Advanced algorithmic techniques. 12. Coding and data compression. 13. Cryptological algorithms. 14. Presentation and defense of the semester project.

Learning activities and teaching methods
unspecified
Learning outcomes
The aim of the course is to introduce students to the problems of informatics as a basis for creation and use of computer-oriented information systems. In addition to basic knowledge and relationships, the subject will focus on the development of individual abilities to create simple data sets and the basics of algorithmization.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Credit: 80% attendance at seminars, submission and presentation of a semestral project, practical credit test. Exam: Written form
Recommended literature
  • AINER, R. Kelly a Brad PRINCE. Introduction to Information Systems: Supporting and Transforming Business. NJ: Pearson/Addison Wesley, 2016. ISBN 978-1119108009.
  • LAUDON, K. C. a J. P. LAUDON. Management Information Systems: Managing the Digital Firm. Upper Saddle River: Pearson, 2017. ISBN 978-0134639710.
  • PROKOP, J. Algoritmy v jazyku C a C++.. Praha: Grada Publishing, 2015. ISBN 978-80-247-5467-3.
  • ROSICKÝ, A. Informace a systémy: základy teorie pro úspěšnou praxi. Praha: Oeconomica, 2009. ISBN 978-80-245-1629-5.
  • SENGE, P. M. Pátá disciplína: Teorie a praxe učící se organizace. Praha: Management Press, 2016. ISBN 978-80-7261428-8.
  • STŘÍŽOVÁ, V. Organizace v podmínkách informační společnosti. Praha: Oeconomica, 2014. ISBN 978-80-245-2072-8.
  • ŠILEROVÁ, E. a K. HENNYEYOVÁ. Informační systémy v podnikové praxi. 2. vydání. Praha: Powerprint, 2017. ISBN 978-80-7568-065-5.
  • WRÓBLEWSKI, P. Algoritmy. Brno: Computer Press, 2015. ISBN 978-80-2514126-7.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester