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. Dictionary-based 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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