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Microsystems Technologies

Module name (EN):
Name of module in study programme. It should be precise and clear.
Microsystems Technologies
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Biomedical Engineering, Master, ASPO 01.04.2014
Module code: BMT1823
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P213-0121
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.
3V+1U (4 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.
4
Semester: 1
Mandatory course: yes
Language of instruction:
German
Assessment:


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

BMT1823 (P213-0121) Biomedical Engineering, Master, ASPO 01.04.2014 , semester 1, 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).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 120 hours (equivalent to 4 ECTS credits).
There are therefore 75 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
BMT1923 Neuroprostheses


[updated 10.11.2013]
Module coordinator:
Prof. Dr. Wenmin Qu
Lecturer:
Prof. Dr. Wenmin Qu


[updated 10.11.2013]
Learning outcomes:


[still undocumented]
Module content:


[still undocumented]
Recommended or required reading:


[still undocumented]
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