Czech

Not applicable.

Theoretical knowledge of physics, fundamentals of electronics and algorithmization.

Course credit award requirements: active participation in laboratories, elaboration and commit of laboratory reports. Examinations: written and oral, classified by ECTS.
Attendance at lectures is recommended, attendance at seminars is monitored. Maximally two absence are compensated by individual missing laboratory reports working out.

Theoretical fundamentals and practical know how of the applied sensors, data acquisition (DAQ) and industrial communication protocols. The course focused on the field of modern production machines and systems, mobile robotics and standalone testing. Acquired knowledge enables students to integrate into teams dealing with implementation of advanced systems within interdisciplinary fields in engineering practice.
Measurement fundamentals, signal processing methods (DAQ) and sensors overview based on various physical principles and sensors applications in practice. Introduction to modern sensor trends, the industrial communication protocols in sensorics and DAQ.

Not applicable.

Not applicable.

Daďo S., Kreidel M.: Senzory a měřicí obvody. Praha. ČVUT 1996
Frank Lamb: Industrial Automation: Hands-On, McGraw-Hill Education, 2013
Handbook of Modern Sensors: Physics, Designs, and Applications 5th ed. 2016 Edition, Springer International Publishing, Switzerland 2016
Mitchell, H.B: Multi-Sensor Data Fusion - An Introduction, Springer - Verlag, 2007

Getting Started with NI LabVIEW Student Training, National Instruments, dostupné z http://zone.ni.com/devzone/cda/tut/p/id/7466
LabVIEW Measurements Manual, National Instruments, April 2003 Edition, Part Number 322661B-01, dostupné z www.ni.com