Course detail

Electronics in German

FEKT-NEIDAcad. year: 2017/2018

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

English

Number of ECTS credits

2

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 is requested.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Techning methods include lectures and computer laboratories.

Assesment methods and criteria linked to learning outcomes

Credit

Course curriculum

Introduction in mathematics, physics and electronics.
Pulse and digital techniques.
Digital memories and functional blocks.
Programmable logic devices.
Signals and systems.
Digital signal processing.
Automatic speech recognition.
People recognition based on biometric parameters.
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

Lectures

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

GEVATTER, H. J. Handbuch der Meß- und Automatisierungstechnik. Springer-Verlag, Berlin/Heidelberg 1999 (DE)
SCHILDT, G. H. Informatik - Aufgaben und Lösungen. Springer-Verlag, Wien 2000 (DE)
SCHKAT-TALAMAZZINI, E. G. Automatische Spracherkennung. Vieweg, Wiesbaden 1995 (DE)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EECC-MN Master's

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

Type of course unit

 

Lecture

26 hod., compulsory

Teacher / Lecturer

prof. Ing. Milan Sigmund, CSc.

Syllabus

Introduction to mathematics.
Introduction to physics.
Introduction to electrical engineering.
Presentation of bachelor work.
Pulse and digital techniques.
Signals and systems.
Digital signal processing.
Automatic speech recognition.
Personal computers, basic hardware and software.
Measurement of non-electric variables, converters, sensors.
How to write German technical reports and diploma works.
Elaboration and presentation of technical topic.