Basics of Information Systems

Goal: Presentation of the most important factors and theoretical concepts of the emergence, and
development of information technology. The subject and place of information technology in the
sciences. The basic concepts of information theory. The basic concepts of encoding. Interpretation of
minimum redundancy codes, major coding algorithms. The dictionary-based data compression
principle, the algorithms of the most commonly used code systems. The principle and significance of
adaptive encoding. The principle of fault tolerance and error correction systems. The practical part will
be organized as concerted lectures, in which representatives of the Faculty or industrial companies will
present the actual results of a field of information technology.

Course description: Concept of informatics. Emergence, development trends. Basic concepts of
informatics. Concept and amount of information. Concept of entropy. Search theory. Concept of
redundancy. Encoding process. Code tree. Prefix code. Statistics-based data compression. Dictionarybased data compression. Number systems. Conversion between number systems. Numeric,
alphanumeric codes. Binary representation of integer and real numbers. Basics of fault tolerant
systems. Error detecting and correcting. Soft computing techniques.

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