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Master Thesis

Module name (EN):
Name of module in study programme. It should be precise and clear.
Master Thesis
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Neural Engineering, Master, ASPO 01.04.2020
Module code: NE2301.THS
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.
T213-0139
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.
-
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
30
Semester: 3
Mandatory course: yes
Language of instruction:
English
Assessment:
Project work

[updated 12.03.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

NE2301.THS (T213-0139) Neural Engineering, Master, ASPO 01.04.2020 , semester 3, mandatory course
NE3301.THS Neural Engineering, Master, SO 01.10.2025 , semester 3, 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).
The total student study time for this course is 900 hours.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Studienleitung
Lecturer: Studienleitung

[updated 16.09.2018]
Learning outcomes:
The students acquire in-depth theoretical and practical knowledge on a particular topic
related to actual projects in Neural Engineering. They apply theoretical knowledge imparted
in lectures related to their topic critically and in depth.
The students develop ideas and implement solutions for specific problems of their research
question. They review the related literature critically and summarize the most important findings
of other authors in a conclusive way.
 
The students can plan and implement work stages in order to solve a specific problem.
They collect, analyze and evaluate quantitative data related to their topic.
 
The students write complex, project specific content that holds up to scientific standards.
They plan the work stages of their thesis project independently and coordinate their tasks
with their academic advisors.

[updated 12.03.2020]
Module content:
The students will independently work on a research question of an explorative or ongoing project and   
write an extended analysis of their topic in form of a master thesis.

[updated 12.03.2020]
Teaching methods/Media:
Depends on the project.

[updated 12.03.2020]
Recommended or required reading:


[still undocumented]
 
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