1. Modulverzeichnis (MTS)
  2. Module
  3. Modulbeschreibung anzeigen

Masterarbeit

Zur Modulseite PDF generieren

#40086 / #1

WS 2016/17 - WS 2018/19

English

Master Thesis
Masterarbeit

20

Martin, Robert

Benotet

Abschlussarbeit

English

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34351300 FG Neuronale Informationsverarbeitung

Keine Angabe

Kontakt


MAR 5-6

Martin, Robert

graduateprograms@bccn-berlin.de

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

Lernergebnisse

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.

Lehrinhalte

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.

Modulbestandteile

Compulsory area

Die folgenden Veranstaltungen sind für das Modul obligatorisch:

LehrveranstaltungenArtNummerTurnusSpracheSWS ISIS VVZ
Dieser Gruppe enthält keine Lehrveranstaltungen

Arbeitsaufwand und Leistungspunkte

Lehrveranstaltungsunabhängiger Aufwand:

AufwandbeschreibungMultiplikatorStundenGesamt
Master Thesis1.0570.0h570.0h
Master Thesis defence1.030.0h30.0h
600.0h(~20 LP)
Der Aufwand des Moduls summiert sich zu 600.0 Stunden. Damit umfasst das Modul 20 Leistungspunkte.

Beschreibung der Lehr- und Lernformen

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.

Voraussetzungen für die Teilnahme / Prüfung

Wünschenswerte Voraussetzungen für die Teilnahme an den Lehrveranstaltungen:

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”.

Verpflichtende Voraussetzungen für die Modulprüfungsanmeldung:

Voraussetzung
Modul 40078 » Modelle höherer Hirnfuntionen« bestanden
Modul 40042 » Models of Neural Systems« bestanden
Modul 40786 » Machine Intelligence« bestanden
Modul 40788 » « bestanden
Modul 40785 » Acquisition and Analysis of Neural Data« bestanden

Abschluss des Moduls

Benotung

Benotet

Prüfungsform

Thesis

Sprache(n)

English

Dauer/Umfang

Keine Angabe

Dauer des Moduls

Für Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt:
1 Semester.

Dieses Modul kann in folgenden Semestern begonnen werden:
Winter- und Sommersemester.

Maximale teilnehmende Personen

Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.

Anmeldeformalitäten

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.

Literaturhinweise, Skripte

Skript in Papierform

Verfügbarkeit:  nicht verfügbar

 

Skript in elektronischer Form

Verfügbarkeit:  nicht verfügbar

 

Literatur

Empfohlene Literatur
Keine empfohlene Literatur angegeben

Zugeordnete Studiengänge


Diese Modulversion wird in folgenden Studiengängen verwendet:

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Dieses Modul findet in keinem Studiengang Verwendung.

Sonstiges

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.