Module description

Medical Engineering (MTM)

Required Electives

Recommended prior knowledge

• Grundlagen der Messtechnik
• Grundlagen der Regelungstechnik
• Grundlagen der Informatik
• Signals, systems, and control
• Programming experience in at least one programming language (MATAB script language, C ++, etc.)

Teaching Methods Subject-Specific
Learning objectives / competencies

After successfully finishing the course, students...

  • are familar with parametric and nonparametric linear models to describe dynamic systems in the time and frequency domain.
  • know the basic procedures and methods of theoretical and experimental approaches to system modelling.
  • can apply basic physical concepts to derive mathematical models of mechanical, electrical, and mechatronic systems.
  • know how to use mathematical models and MATLAB Simulink to simulate the behavior of dynamic systems.
  • know methods for identifying plant parameters and structures and they can apply it.
  • have in-depth knowledge of LabVIEW.
  • are able to implement complex algorithms in LabVIEW's programming language "G".
  • know the possibilities and limitations of LabVIEW.
  • have learned to use LabVIEW on a high level.
Duration 1
SWS 4.0
Effort
Classes 60h
Self-study / group work: 90h
Workload 150h
ECTS 5.0
Requirements for awarding credit points

Oral examination + Laboratory work

Credits and Grades

5 CP

Responsible Person

Prof. Dr.-Ing. Jörg Fischer

Recommended Semester 2
Frequency Annually (ss)
Usability

Master Medical Engineering

Lectures

Labor Kardiale Elektrophysiologie

Type Labor
Nr. EMI2525
SWS 1.0

Programmierung in LabVIEW

Type Vorlesung/Labor
Nr. E+I2526
SWS 2.0

Mess- und Automatisierungstechnik mit LabVIEW

Type Vorlesung/Labor
Nr. E+I2527
SWS 2.0

Objektorientierte Programmierung In C++

Type Vorlesung
Nr. E+I2528
SWS 2.0

Labor Objektorientierte Programmierung In C++

Type Labor
Nr. E+I2529
SWS 2.0