KFT11020 – Measurement & Systems Technology

Module
Measurement & Systems Technology
Measurement & Systems Technology
Module number
KFT11020
Version: 1
Faculty
Kraftfahrzeugtechnik
Level
Bachelor/Diplom/Master
Duration
1 Semester
Semester
Winter semester
Module supervisor

Prof. Rick Voßwinkel
Rick.Vosswinkel(at)fh-zwickau.de

Lecturer(s)

Prof. Rick Voßwinkel
Rick.Vosswinkel(at)fh-zwickau.de

Course language(s)

English
in "Measurement & Systems Technology"

ECTS credits

5.00 credits

Workload

150 hours

Courses

4.00 SCH (4.00 SCH Lecture with integrated exercise / seminar-lecture)

Self-study time

90.00 hours

Pre-examination(s)
None
Examination(s)

schriftliche Prüfungsleistung
Module examination | Examination time: 90 min | Weighting: 100% | not graded | wird in englischer Sprache abgenommen
in "Measurement & Systems Technology"

Media type
No information
Instruction content/structure

1. Introduction
Basic concepts and the concept of systems engineering
Properties and classification of signals
Elementary operations for signals
Standard signals
Properties and classification of systems
2. Description of continuous-time LTI systems in the time domain
Differential equations
State-space representation
Structural description
Dynamic and steady-state behavior
Convolution
Characteristic functions of dynamic behavior
Stability
Elementary transfer elements
3. Continuous-time signals and LTI systems in the frequency domain
Objectives
Fourier transform
Laplace transform
Hilbert transform
Transfer function
Frequency response
Elementary transfer elements in the frequency domain
4. Sensors for autonomous Systems
Radar
Lidar
Inertial Measurement Unit
Camera

keine Angabe

Qualification objectives

The module pursues the following qualification objectives:
- Confident application of concepts from systems engineering
- Ability to create and analyze mathematical models
- Ready-to-use understanding of systems for engineers

The module pursues the following qualification objectives:
- Confident application of concepts from systems engineering
- Ability to create and analyze mathematical models
- Ready-to-use understanding of systems for engineers

Special admission requirements

keine

Recommended prerequisites

Knowledge in the fields of physics, mathematics, technical mechanics, electrical engineering, thermodynamics

Knowledge in the fields of physics, mathematics, technical mechanics,
electrical engineering, thermodynamics

Continuation options
keine Angabe
Literature

Callier, F. et al.: Linear System Theory , Springer, 1991
Boyd, S.; Vandenberghe, L.: Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares, Cambridge University Press, 2018

Callier, F. et al.: Linear System Theory , Springer, 1991

Boyd, S.; Vandenberghe, L.: Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares, Cambridge University Press, 2018

Notes
No information
Assignment to curriculum
No information