Moses - Master Thesis

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Module / Version:
#40086 / #2

Validity:
Seit SS 2019

Default display language:
English

Module title:
Master Thesis

Credits:
20

Responsible person:
Obermayer, Klaus

Grading:
benotet

Type of exam:
Abschlussarbeit

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34351300 FG Neuronale Informationsverarbeitung

Prüfungsausschuss:
No information

Kontakt

Office:
MAR 5-6

Contact person:
Martin, Robert

E-mail address:
graduateprograms@bccn-berlin.de

Website:

http://www.bccn-berlin.de/Graduate+Programs/0_Teaching/Courses+and+Modules/#mt

Learning Outcomes

In the Master thesis, the candidate shall demonstrate that she/he is able to deal with a task in a selected study field independently and according to scientific methods within the stipulated period of time, and to present the results of such work appropriately in compliance with the standards of good scientific practice.

Content

The contents of the Master Thesis depend: a) on the study and research interests of the student b) on the subject of the Master Thesis. The candidate has the right to propose a topic for the Master Thesis which may consist of an interdisciplinary research project. The examination board allocates the topics by taking into consideration their homogeneity and the feasibility of the project within the given deadline. For the Master Thesis, it is recommended to select the subject of one of the Lab Rotations.

Module Components

Workload and Credit Points

Course-independent workload:

Workload description	Multiplier	Hours	Total
Master Thesis	1.0	570.0h	570.0h
Master Thesis defence	1.0	30.0h	30.0h
			600.0h(~20 LP)

The Workload of the module sums up to 600.0 Hours. Therefore the module contains 20 Credits.

Description of Teaching and Learning Methods

The Master Thesis of the Master Program Computational Neuroscience must be submitted as a written scientific report. Upon decision of the Examination Board, the Master Thesis can also be accomplished as a team-work.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

The candidate must have completed the modules “Models of Neural Systems”,”Models of Higher Brain Functions”, “Acquisition and Analysis of Neural Data”,”Machine Intelligence”, “Individual Studies” and “Ethical Issues and Implications for Society”.

Mandatory requirements for the module test application:

1. Requirement

Modul40785 [Acquisition and Analysis of Neural Data] passed

2. Requirement

Modul40788 [Ethical Issues and Implications for Society] passed

3. Requirement

Modul40786 [Machine Intelligence] passed

4. Requirement

Modul40042 [Models of Neural Systems] passed

5. Requirement

Modul40078 [Modelle höherer Hirnfuntionen] passed

Module completion

Grading

graded

Type of exam

Thesis

Language

English

Duration/Extent

No information

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

The student applies to the Examination Board for approval of a Master thesis topic. In this context, the student can propose a supervisor and a topic; any examiner can be a supervisor. At the suggestion of the supervisor, upon consultation with the candidate, the Examination Board will allocate the topic and put the date of allocation on record.

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous

Module Examination and Grading Procedures: The finished thesis shall be submitted, in due time, in triplicate to the Examination Office of the Technical University of Berlin, which will put the time of submission on record and forward the thesis for examination and assessment. The candidate shall defend the results of the final thesis in a university-public colloquium. The Master thesis shall be assessed by at least two experts, among them the supervisor. The second expert will be appointed by the Examination Board. Assessments shall be delivered to the Examination Board within two months upon submission of the thesis. If assessments differ from each other and prove to be Nicht Ausreichend (Unsatisfactory) in one case, the Examination Board will seek to reach an agreement between the experts - if necessary, with the aid of another expert. The grade as well as the assessment will in this case be determined by the professors of the Examination Board. If the assessments given by the experts differ from each other, but are at least Ausreichend (Fair) in both cases, the individual grades will be averaged and an overall grade will be determined. The Master Thesis is assessed accordingly to the same criteria as for the individual modules. The grading scale is regulated by the General Examination Regulation of the Technical University (Ordnung zur Regelung des allgemeinen Prüfungsverfahrens in Bachelor- und Masterstudiengängen) and by the Examination Regulation of the Master Program Computational Neuroscience (Prüfungsordnung für den internationalen Masterstudiengang Computational Neuroscience an der Humboldt Universität zu Berlin und der Technischen Universität Berlin). Duration of Module The period for completion of the thesis is four months. At the candidate’s request, upon hearing the supervisor, the Examination Board may, by way of exception, extend this period. The topic of the Master thesis can be returned only once and only within the first six weeks of the period granted for completion of the thesis.

Master Thesis