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Analytics and Measurement Technology in Process Engineering

Module name (EN):
Name of module in study programme. It should be precise and clear.
Analytics and Measurement Technology in Process Engineering
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Engineering and Management, Master, ASPO 01.10.2004
Module code: MAM-9.V.3
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2U (2 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
2
Semester: 9
Mandatory course: yes
Language of instruction:
German
Assessment:
Lab reports, presentations, protocols and worksheets

[updated 06.07.2021]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MAM-9.V.3 Engineering and Management, Master, ASPO 01.10.2004 , semester 9, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 60 hours (equivalent to 2 ECTS credits).
There are therefore 37.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended knowledge:
Bachelor’s degree

[updated 14.08.2012]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr.-Ing. Christian Gierend
Lecturer: Prof. Dr.-Ing. Christian Gierend

[updated 06.09.2004]
Learning outcomes:
Analytics:
After successfully completing this module, students will have acquired an overview of the prerequisites and the most important methods of trace and environmental analysis.
 
Measurement technology:
Students will be familiar with measurement methods, measurement accuracy, transducers, the acquisition, display and storage of measured values for the parameters that typically determine material transformations in process engineering.

[updated 06.07.2021]
Module content:
Analytics:
Fundamentals of analytical metrology, the 6 Ws, environmental metrology as an interdisciplinary task, parameters and reference values, quality criteria, precision and accuracy, analytical procedures, sampling, processing, measurement, direct methods, evaluation and assessment, important analytical techniques: classical chemical measurements, photometry, AAS and AES, potentiometry, polarography, chromatography.
 
Measurement technology:
Introduction and basic terms, overpressure and underpressure measurement, flow measurement, concentration measurement, measuring instruments (IDM, false color camera, photometer, GC, GPC, HPLC, AAS, PH- value electrode, O2- electrode, pyranometer)

[updated 06.07.2021]
Teaching methods/Media:
Special documents for the experiments,
special literature excerpts

[updated 06.07.2021]
Recommended or required reading:
Recknagel- Sprenger- Schramek, Taschenbuch für Heizung+ Klimatechnik, Oldenbourg, Profos, Handbuch der industriellen Messtechnik, Vulkan, other current scientific literature (Standards, VDI guidelines), G. Schwedt: Taschenatlas der Analytik.- Stuttgart: Thieme, G. Schwedt: Analytische Chemie. Stuttgart: Thieme, M. Otto: Analytische Chemie. Weinheim: Wiley-VCH, … current company brochures.

[updated 06.07.2021]
 
[Fri Apr 26 08:48:10 CEST 2024, CKEY=maumidp, BKEY=mm0, CID=MAM-9.V.3, LANGUAGE=en, DATE=26.04.2024]