Infopaket

Computer-integrated measurement and data processing systems (MATLAB, LabVIEW)

ОК 29.

Обов’язкова дисципліна для ОП

First

2021/2022

6 Semester

3

- Know and understand theories of measurement, mathematical and computer modeling, modern methods of processing and evaluating the accuracy of measurement experiments - Be able to choose based on the technical problem, standardized method of evaluation and measurement control of product properties and process parameters - Be able to explain and describe principles construction of computing subsystems and modules used in solving measurement problems - Be able to establish a rational nomenclature of metrological characteristics of measuring instruments to obtain measurement results with specified accuracy - Have skills in modern computing, be able to use standard application packages and program for implementation of numerical methods for solving physical problems, computer modeling of phenomena and processes in optics and laser physics, to conduct computational experiments.

Full-time form

Students must have a sufficient level of mathematical analysis, basics of radio electronics, numerical methods of computer problem solving, English technical language, programming skills and information retrieval.

The course "Computer-integrated measurement and data processing systems (MATLAB, LabVIEW) / Computer-integrated measurement and data processing systems (software packages MATLAB, LabVIEW) introduces students to the basics of programming in common environments MATLAB, LabVIEW. These environments allow you to create automated experimental setups, control the progress of scientific experiments or technological processes, perform physical measurements and perform mathematical processing of data.The curriculum consists of two sections (topics): MATLAB: The topics correspond to two content modules.

Рекомендована література: LabVIEW for Everyone: Graphical Programming Made Easy and Fun / J. Travis, J. Kring. – 3th ed. – Crawfordsville: Prentice Hall, 2007. – 1236 p.

Teaching methods: lectures, laboratory work, consultations. Assessment methods: interviews during the lecture, modular tests, credit. The final grade is set on the basis of intermediate grades (60%) and credit (40%).

Assessment methods: interviews during the lecture, modular tests, credit. The final grade is set on the basis of intermediate grades (60%) and credit (40%). Forms of student assessment: Semester assessment: Modular test 1 (9 points - 30 points). Modular test 2 (9 points - 30 points). Final evaluation in the form of a test. A student is not admitted to the test if he / she scored less than 20 points during the semester. The grade for the exam cannot be less than 24 points to get an overall positive grade for the course.

English