Moses - Master’s Thesis Colloquium in Data Management Systems

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SoSe 2023 - SoSe 2023. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#41080 / #1

Validity:
SoSe 2023 - SoSe 2023

Default display language:
English

Module title:
Master’s Thesis Colloquium in Data Management Systems

Credits:
3

Responsible person:
Markl, Volker

Grading:
unbenotet

Type of exam:
Keine Prüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34351500 FG Datenbanksysteme und Informationsmanagement (DIMA)

Prüfungsausschuss:
No information

Kontakt

Office:
EN 7

Contact person:
Soto, Juan

E-mail address:
sekr@dima.tu-berlin.de

Website:

https://www.tu.berlin/dima

Learning Outcomes

This course enables students to define, shape, and solve a research problem drawn from the area of data management systems using scientific and technical methods within a fixed period of time. The module conveys: (a) technical competence 10%, (b) methodological competence 40%, (c) system competence 30%, and (d) social competence 20%.

Content

The course covers a presentation on open thesis topics at DIMA, as well as a presentation and discussion on the expectations and evaluation criteria of Master's Theses, topic selection, structuring and writing a thesis proposal, including problem statement, solution approach, experimental design, evaluation, and implementation plan as well as project and time management over the course of a Master's Thesis. Upon completion of their thesis, students will offer a presentation of their work (goal and research problem, solution methodology, evaluation and findings) and lessons learned with respect to the preparation and execution of their Master's Thesis for the discussion with their peers. Additionally, participating students will attend scheduled presentations and benefit both from the peers' comments on their work and from the discussion of the work of fellow students.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Master’s Thesis Colloquium in Data Management Systems	KO		WiSe/SoSe	English	2

Workload and Credit Points

Master’s Thesis Colloquium in Data Management Systems (KO):

Workload description	Multiplier	Hours	Total
Presence	15.0	2.0h	30.0h
Self Study	1.0	60.0h	60.0h
			90.0h(~3 LP)

The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

This course consists of: (i) lectures on thesis topic selection, preparing a thesis proposal, and effective execution of a thesis, (ii) student lead presentations, and (iii) group discussions. Active participation and contributions to all parts of this course are essential.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Computer science topics addressed in TU Berlin modules in the Bachelor’s curriculum, particularly, both ISDA (Information Systems and Data Analysis) and DBPRA (Practical Database Systems Lab) or their equivalents, as well as good programming skills in C, Java, and SQL are all required. Knowledge of master's level coursework in database technology (DBT) and advanced information management is necessary. This course will be offered in English. Thus, fluency in English is also required. This course complements and must be taken concurrently with the writing of a Master's Thesis in data management systems in the Database Systems and Information Management Group.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

ungraded

Type of exam

No exam

Language

English

Duration/Extent

This module accompanies the topic definition and execution of a Master's thesis.

Test description (Module completion)

This course is either pass or fail, it is not graded. To pass this course, students must prepare and defend a DIMA thesis proposal and deliver a final presentation upon completion of their thesis. Participating students will attend the final presentations of their peers.

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 limit is determined by the mentoring capacity of the Database Systems and Information Management Group. Contact your DIMA thesis advisor.

Recommended literature
No recommended literature given

Assigned Degree Programs

This module is not used in any degree program.

This is a free choice module.

Miscellaneous

No information

Master’s Thesis Colloquium in Data Management Systems