Computer Measurement Techniques 390-FS2-1KTP

Study profile: general academic
Form of study: full-time
Subject type: compulsory
Field and discipline of study: Field of exact and natural sciences, Discipline of physical sciences.
Level of education: second-cycle studies
Year of study/semester: 1st year/2nd year Semester
ECTS Credits: 4
Prerequisites:

Student Workload Balance:
- Participation in lectures (30 hours),
- Participation in laboratories (30 hours),
- Participation in consultations (15 hours),
- Student's own work at home (25 hours),

Quantitative Indicators:
- Student workload related to classes requiring direct teacher involvement - 3 ECTS;
- Student workload related to independent work - 1 ECTS.

Principles of Artificial Intelligence (AI) Use:
During classes, the use of AI systems is permitted for:
1. Machine translation of source texts from foreign languages.
2. Searching for and organizing scientific sources.
3. Creating simulations and modeling of physical phenomena discussed in lectures.

The use of AI systems is prohibited during the exam.
If violations of the above rules are found, the student may be held accountable under separate disciplinary regulations.

Topics:
Lecture:
-The computer as a data acquisition device. History and principles of operation.
-Basic concepts (measurement, experiment, data, basic instruments, measurement system)
-Organization and classification of measurement systems.
-Structure and principle of operation of a computer measurement system (functional diagram, characteristics). Processors and controllers.
-Basic measurement signals (classification, characteristics, parameters). -Digital processing in the measurement system.
-The clock in the measurement system. Quartz generator, timing signals. Time measurement.
-Standard computer measurement interfaces.
-Types of data transmission.
- Parallel and serial interfaces
- Specialized computer DAQ measurement cards.
- Optical transducers, CCD, and CMOS sensors.
- Sensors for measuring physical quantities (position, rotation, displacement, force, temperature, capacitance, light, pressure, sound, magnetic field).
- Specialized sensors and detectors.
- Control in measurement systems (motors, scanners).
- Introduction to LabVIEW graphical programming (structure, structures, objects, data formats, data representation).
- Virtual instruments implemented using LabVIEW.
- Principles of building an online physical experiment (configuration, schematic, transmission, measurement execution).
- Lock-in measurement technique.

Lab:
- Introduction to the principles of using laboratory instruments and kits. Laboratory work principles and occupational health and safety regulations. Providing information on literature sources and the website dedicated to the laboratory.
- Familiarization with software for analyzing, processing, and processing measurement data.
- Computer-assisted exercises:
-- Investigation of a mathematical pendulum.
-- Investigation of damped vibrations in a spring-based pendulum system.
-- Resonance in an RLC system, determining basic parameters.
-- Investigation of light bulb radiation and determining the relationship between light intensity and distance.
-- Investigation of the charging and discharging processes of a capacitor in an RC system.
-- Verification of Malus's law.
-- Determination of the speed of sound in air.
-- Verification of Faraday's law of induction.
-- Experiment on radioactivity.
-- The photoelectric effect.
-- Selected online experiments.
-- Elements of LabVIEW programming