Course detail

Electronic Circuits and Signals

FEKT-LEOSAcad. year: 2011/2012

The course is based on previous knowledge get in bachelor study mainly oriented to the general electronics. New given areas e.g. of signal processing, measure data acquisition and processing are oriented to research projects in foreign partner universities and companies where can participate our mobile students.

Language of instruction

German

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

prof. Ing. Milan Sigmund, CSc.

Department

Department of Radio Electronics (UREL)

Learning outcomes of the course unit

The students become familiar with the technical German and some foreign projects in which can participate.

Prerequisites

The subject knowledge on the Bachelor´s degree level and the German language knowledge middle advanced are 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 year.

Course curriculum

Introduction in mathematics.
Introduction in physics.
Introduction in electronics.
Pulse and digital techniques.
Signals and systems.
Digital signal processing.
Automatic speech recognition.
Personal computers, basic hardware and software.
Analog and digital measuring devices.
Measurement of non-electric variables, converters, sensors.
Software tools for measure data acquisition and processing.
How to write German technical reports and diploma works.

Work placements

Not applicable.

Aims

The aim of the course is to make students familiar with the technical German and prepare them to the study and training in German speaking universities.

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

Seminars and exercices.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-ML Master's

    branch ML-SVE , 2 year of study, winter semester, elective general
    branch ML-KAM , 2 year of study, winter semester, elective general
    branch ML-EEN , 2 year of study, winter semester, elective general
    branch ML-TIT , 2 year of study, winter semester, elective general
    branch ML-EVM , 2 year of study, winter semester, elective general
    branch ML-EST , 2 year of study, winter semester, elective general
    branch ML-MEL , 2 year of study, winter semester, elective general
    branch ML-BEI , 2 year of study, winter semester, elective general
    branch ML-SVE , 1 year of study, winter semester, elective general
    branch ML-KAM , 1 year of study, winter semester, elective general
    branch ML-EEN , 1 year of study, winter semester, elective general
    branch ML-TIT , 1 year of study, winter semester, elective general
    branch ML-EVM , 1 year of study, winter semester, elective general
    branch ML-EST , 1 year of study, winter semester, elective general
    branch ML-MEL , 1 year of study, winter semester, elective general
    branch ML-BEI , 1 year of study, winter semester, elective general

Type of course unit

 

Language exercise

13 hod., compulsory

Teacher / Lecturer

prof. Ing. Milan Sigmund, CSc.

Syllabus

Prezentace bakalářské práce v němčině.
Překlady odborných článků.
Zápis a diktování matematických vztahů.
Popis nejčastějších technických obrázků a grafů.
Zpracování signálů německým softwarem.
Vypracování a prezentace odborného téma.

Lecture

13 hod., compulsory

Teacher / Lecturer

prof. Ing. Milan Sigmund, CSc.

Syllabus

Základní orientace v matematice.
Základní orientace ve fyzice.
Základní orientace v elektrotechnice.
Impulzová a číslicová technika.
Signály a soustavy.
Číslicové zpracování signálu.
Automatické rozpoznávání řeči.
Osobní počítače, základní hardware a software.
Vysoké školy a výzkum v Německu.
Jak psát německy technické zprávy a diplomové práce.