| Module label | Metrology |
| Modulkürzel | phy533 |
| Credit points | 6.0 KP |
| Workload | 180 h
( 180 h (Präsenzzeit 56h, Selbststudium: 124h) )
|
| Institute directory | Institute of Physics |
| Verwendbarkeit des Moduls |
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| Zuständige Personen |
Meyer, Bernd (Module responsibility)
Meyer, Bernd (Module counselling)
Doclo, Simon (Prüfungsberechtigt)
Hohmann, Volker (Prüfungsberechtigt)
Huke, Philipp (Prüfungsberechtigt)
Kittel, Achim (Prüfungsberechtigt)
Kollmeier, Birger (Prüfungsberechtigt)
Meyer, Bernd (Prüfungsberechtigt)
|
| Prerequisites | |
| Skills to be acquired in this module | The students will learn basic principles of measurement technology and signal processing as well as the application of complex measurement methods to extract the measurement information. They will acquire skills to carry out advanced internships and experimental work in research laboratories. Further, they will develop the competence for analytical thinking in the evaluation of measurement situations, which will enable them to solve measurement problems such as those encountered in different branches of industry (e.g. automotive and semiconductor industries; analytical, pharmaceutical and medical industries). |
| Module contents | Lecture Measurement Technology: Sensors for measuring different physical quantities (e.g. force, temperature, charge, electric and magnetic fields, energies of particles and radiation), high-resolution measurements of small signals, influence of interfering signals, linearization and reduction of interfering variables through compensation methods, noise reduction, phase-sensitive detector, complex measurement systems such as nuclear magnetic resonance, electron resonance, laser measurement technology (including pump / probe systems), spatially resolved measurement methods such as magnetic resonance tomography, electron and scanning probe microscopy. Lecture Signal Processing: Characterization and processing of measurement signals (linear signal analysis, filtering), characterization and elimination of interferences (empirical statistics, noise in physical systems, correlation analysis, phase-sensitive amplifiers, methods of averaging), signal digitization, digital signal processing Signal processing (including time-variant filtering, complex processing algorithms) Filterung, komplexe Verarbeitungsalgorithmen) |
| Literaturempfehlungen | SE Physikalische Messtechnik: Elmar Schrüfer, Elektrische Messtechnik: Messung elektrischer und nichtelektrischer Größen. Hanser Fachbuchverlag H.-R. Tränkler, E. Obermeier: Sensortechnik. Springer, Berlin; J. Niebuhr, G. Lindner: Physikalische Messtechnik mit Sensoren. Oldenbourg, München; J. F. Keithley [Ed.]: Low /Level Measurements Handbook. Keithley Instruments Inc; VL Signalverarbeitung: K.-D. Kammeyer, K. Kroschel: Digitale Signalverarbeitung: Filterung und Spektralanalyse mit MATLAB-Übungen. Teubner, Stuttgart; J.-R. Ohm, H.D. Lüke: Signalübertragung. Springer, Berlin; B. Kollmeier; Skript zur Signalverarbeitung und Messtechnik |
| Links | |
| Language of instruction | English |
| Duration (semesters) | 1 Semester |
| Module frequency | jährlich |
| Module capacity | unlimited |
| Modullevel / module level | AC (Aufbaucurriculum / Composition) |
| Modulart / typ of module | Pflicht / Mandatory |
| Lehr-/Lernform / Teaching/Learning method | Vorlesung: 3 SWS; SoSe 42h Übung: 1SWS; SoSe 14h Online presentation / online methods |
| Vorkenntnisse / Previous knowledge |
| Form of instruction | Comment | SWS | Frequency | Workload of compulsory attendance |
|---|---|---|---|---|
| Vorlesung und Übung | 2 | SoSe und WiSe | 28 | |
| Seminar | 2 | SoSe und WiSe | 28 | |
| Präsenzzeit Modul insgesamt | 56 h | |||
| Examination | Prüfungszeiten | Type of examination |
|---|---|---|
| Final exam of module | Max. 90 min. Klausur oder 30 min. mündliche Prüfung (Gewichtung 1/2) und 1 Referat oder 1 Hausarbeit (Gewichtung 1/2) |
G |
