Infopaket

Processing and analysis of information flows

ОК 36.

Обов’язкова дисципліна для ОП

First

2021/2022

5 Semester

3

- To be able to find reasonable decisions at drawing up of structural, functional and basic schemes of means of information-measuring equipment - To be able to choose, proceeding from a technical task, the standardized method of estimation and measuring control of characteristic properties of production and parameters of technological processes. processing of measuring information - Be able to organize and conduct measurements, technical control and testing - Know and be able to apply modern information technology to solve problems in the field of metrology and information-measuring technology.

Full-time form

Know the basics of mathematical analysis, linear algebra, electricity, optics, electronics. Be able to describe at a qualitative level the nature of the signal (information flow), classify signals, present them in digital and graphical form. Have basic skills in practical work with computer programs for processing, analysis and graphical representation of digital data.

Discipline "Processing and analysis of information flows" studies the basics of the theory of digital processing of information flows of different dimensions (ordered and unordered data sets, time series, static and dynamic images) in terms of basic methods and algorithms invariant to their physical nature, which include: mathematical description information flows, statistical methods of data array analysis, spectral and correlation analysis of time series, analysis of non-stationary series, digital processing and spectral analysis of static images, correlation analysis of dynamic images. The discipline considers examples of practical implementation of appropriate methods of analysis for specific information and measurement technologies, as well as their computer support.

Основна: Наконечний А., Наконечний Р., Павлиш В. Цифрова обробка сигналів, 2010 Додаткова: Shuvra S. Bhattacharyya - Handbook of Signal Processing Systems - 2019 Статистичні тести NIST – https://csrc.nist.gov/projects/random-bit-generation/documentation-and-software

Teaching methods: lectures, consultations, practical classes. Assessment methods: homework, express surveys, tests. The final grade is set on the basis of intermediate grades (60%) and credit (40%).

Semester assessment: 1. Based on the results of tests, homework tests and rapid surveys (18-30). 2. According to the results of the express survey and control work (18-30). Final evaluation (24-40).

Ukrainian