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Course title -
Course code KIN/3T1
Organizational form of instruction Lecture
Level of course not specified
Year of study not specified
Semester Winter and summer
Number of ECTS credits 8
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • Beránek Ladislav, doc. Ing. CSc.
  • Dobiáš Václav, Mgr. Ph.D.
Course content
1. Data and meaning, memory and size 2. Coding and redundancy 3. Display numbers 4. Text encoding 5. The amount of information in the message 6. Bitmap graphics, basic concepts (resolution, data size, color depth, compression), vector graphics - data representation 7. Audio - basic concepts (bitrate, frequency, compression, data size, calculations, ID3) 8. Video - basic concepts (resolution, compression, bitrate) 9. Digitization - image, sound 10. Data compression in general, lossy, lossless 11. Selected methods of data compression - principle 12. Data transfer, checksum 13. File formats, graphic formats 14. Cryptography, principle, encryption methods, symmetric and asymmetric encryption

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Demonstration, Work with multi-media resources (texts, internet, IT technologies)
  • Class attendance - 56 hours per semester
  • Preparation for classes - 28 hours per semester
  • Semestral paper - 28 hours per semester
  • Preparation for credit - 12 hours per semester
  • Preparation for exam - 26 hours per semester
Learning outcomes
Introductory course of basic concepts, principles and computer terminology. The student should acquire the knowledge needed for other theoretical courses (discrete mathematics, algorithms, theory of automata) and applied informatics (computer architecture, web and graphics). The graduate will understand the basic concepts used in computer science.
The graduate will understand the basic concepts used in computer science, will be able to determine the amount of information in the message, understand the principles of compression and multimedia formats.
Basic knowledge of mathematical analysis and probability.

Assessment methods and criteria
Combined exam, Seminar work

Elaboration of partial tasks, credit test, written exam.
Recommended literature
  • Mareš, M. Základy teorie informace. České Budějovice: Kopp, 2011. ISBN 978-80-7394-291-5.
  • MAREŠ, Martin a Tomáš VALLA. Průvodce labyrintem algoritmů. Praha: CZ.NIC, z.s.p.o., 2017.
  • Mayer, R.E. Multimedia Learning. Cambridge: University Press, 3.vyd., 2020. ISBN 978-1316638088.
  • Navrátil, P. Počítačová grafika a multimédia. Praha: Computer Media, dotisk, 2021. ISBN 9884863.
  • Stone, J.V. Information Theory: A Tutorial Introduction. Birmingham: Sebtel Press, 2015. ISBN 978-0956372857.
  • Vaníček, J. Teoretické základy informatiky. Praha : Kernberg, 2007. ISBN 978-80-903962-4-1.

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