Czech

Not applicable.

Obtaining general principles in data collection and processing. Overview of modern methods in data processing with a focus on Industry 4.0

Theoretical knowledge of physics, fundamentals of electronics and algorithmization.

Not applicable.

The course is taught in the form of lectures that have the character of explanation of basic principles and theory of the given discipline. Teaching is complemented by laboratory exercises.

The course consists of exercises and lectures. Exercise is completed by credit (awarded in the 13th week). To obtain it is required 100% participation in exercises and activity in exercises. Students will work out the individual work in the prescribed range and quality. Based on the quality of the work in the exercise, the student earns up to 30 points for the exam The work must be submitted in writing and checked and recognized by the teacher. The test is realized by written test, student can get up to 70 points from this test, where 30 points from exercises. Evaluation of the test result is given by the ECTS grading scale.

Not applicable.

Not applicable.

The aim of the course is to organize the knowledge and methods used in data processing in the production process.

Attendance at lectures is recommended, participation in laboratories is controlled. A maximum of two absences in the laboratories can be compensated by the independent elaboration of missing protocols.

Not applicable.

Not applicable.

Frank Lamb: Industrial Automation: Hands-On, McGraw-Hill Education, 2013 (EN)
BURDA, Michal, 2012. Databázové systémy. Hradec Králové: Gaudeamus. ISBN 978-80-7435-203-4. (CS)
DANIŠ, Stanislav, 2009. Základy programování v prostředí Octave a Matlab. Praha: Matfyzpress. ISBN 978-80-7378-082-1. (CS)
LabVIEW Measurements Manual, National Instruments, April 2003 Edition, Part Number 322661B-01, dostupné z www.ni.com (EN)

Not applicable.