Course detail

FEKT-NREMAcad. year: 2012/2013

Basic measurement error definition, statistical data evaluation. Measurement automation, principals of basic programs. Precise measurements, parameters stability. Measurement devices for high frequency range. Network and impedance analyzers.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

Ing. Jiří Dřínovský, Ph.D.

Department

Department of Radio Electronics (UREL)

Learning outcomes of the course unit

Ability to apply basic measurement methods, to analyse measured data. Ability to create the automation setups for different measurements.

Prerequisites

The subject knowledge on the Bachelor’s degree level is requested.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Requirements for completion of a course are specified by a regulation issued by the lecturer responsible for the course and updated for every.

Course curriculum

Measurement error definition, error quantification. Correct measurement rules.
Automation measurements.
Agilent VEE.
Basic oscilloscope measurements.
Frequency measurements.
Spectrum analysers.
Scalar analysers.
Network analysers.
Impedance analysers.
Generators.
Special measurements setups (six-port, …).
Interference measurements.
PC digital cards.

Work placements

Not applicable.

Aims

Presenting principles of basic measurement methods for high frequency range. Presenting automation techniques, programs. Automation measurement setup.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Hiebel, M., Fundamentals of Vector Network Analysis. Rohde&Schwarz GmbH & Co.KG, 2005. 419 stran. ISBN: 978-3-939837-06-0. (EN)
Pieper, J. M., Automatic Measurement Control (A tutorial on SCPI and IEEE 488.2). Rohde&Schwarz GmbH & Co.KG, 2007, 295 stran. ISBN: 978-3-939837-02-2. (EN)
Rauscher C., Fundamentals of Spectrum Analysis. Rohde&Schwarz GmbH & Co.KG, Mnichov 2007, ISBN 978-3-939837. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-MN Master's

    branch MN-EST , 2. year of study, summer semester, optional specialized

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Ing. Jiří Dřínovský, Ph.D.

Laboratory exercise

39 hours, compulsory

Teacher / Lecturer

Ing. Jiří Dřínovský, Ph.D.