Syllabus
Information theory information, information needs, information technology, computer science, information theory, information and entropy
Encoding and compression
RLE algorithm, Huffman coding. LZW algorithm
Basic theory of finite automata
Moore and Mealy automata, team automata, automata as a flat abstract machine implementation through automatic relay circuits and logic gates
Abstract computer model von Neummanovo scheme computer scheme limits VN, Turing machine and the concept of associative memory
Neural Networks neuron, perceptron, perceptron settings, applications of neural networks
Annotation
This subject is focused on basics of informatics as background for further studium of information technology. The aim is to to develop students' knowledge of general principles of computer science and the ability of orientation in terminology.
The course content focuses on basic concepts of information technology, processing and compression of data, theory of finite automata, abstract computer model and neural networks.