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SoSe 2023 - WiSe 2023/24

English

IMSEM Seminar on Hot Topics in Information Management

3

Markl, Volker

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34351500 FG Datenbanksysteme und Informationsmanagement (DIMA)

No information

Kontakt


EN 7

Soto, Juan

sekr@dima.tu-berlin.de

Learning Outcomes

In this seminar, students will learn how to: (a) critically read and interpret scientific papers drawn from the data management, database systems, as well as technologies and systems for big data management and data science literature, (b) give a good scientific presentation that is technically precise, concentrated on the relevant topics, and also enjoyable, and (c) write a scientific survey based on papers drawn from varying sources, such as contemporary computer science journals and conference proceedings. In addition, students will learn about state-of-the art and current research topics in data management, database systems, as well as technologies and systems for big data management and data science.

Content

Students will initially be assigned a research paper (to be used as a primary source and a starting point). Students will then conduct their own literature search to identify related/supplementary materials (drawn from varying sources, such as books, conference proceedings, and journals). Representative sources, include conferences, such as VLDB, SIGMOD, ICDE, and CIDR as well as journals, such as the ACM Transactions on Database Systems, or the VLDB Journal. The set of “hot” research topics will be announced each term.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
IMSEM - Seminar Hot Topics in Information ManagementSEM0434 L 476WiSe/SoSeNo information2

Workload and Credit Points

IMSEM - Seminar Hot Topics in Information Management (SEM):

Workload descriptionMultiplierHoursTotal
Preparation/Individual Work15.04.0h60.0h
Plenary sessions15.02.0h30.0h
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

During the initial phase of this class, students will hear presentations on how to read scientific papers, how to give a good presentation, and how to write high-quality scientific/technical reports. You will also receive an initial paper as primary literature. Then you should find and use secondary sources to research your topic assigned to you in the seminar, which should go beyond the supplied primary literature. Next to conventional sources like the internet you are required to use research journals and articles published at important conferences in the areas of databases and information systems, big data and data science. You will deliver a presentation on your topic, followed by a discussion with all of the seminar participants. Details may vary and will be announced in the respective semester.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

This course is aimed at third semester Master's students with a focus on database systems and information management. Desirable prerequisites include the following: (a) successfully completed the TU Berlin Database Technology (DBT) course or its equivalent, (b) at least one of the advanced information management courses, such as the Management of Data Streams or Data Management on Modern Hardware, (c) sound understanding of written and spoken English. Ideally, this seminar should be taken the semester before commencing your master's thesis.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
(Deliverable Assessment) Seminar Presentation30oral20 min.
(Deliverable Assessment) Discussion of Seminar Content20oral5 min. per presentation
(Deliverable Assessment) Written Seminar Report50written15 pages

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

The exam will be done as a 'portfolio examination', see the information above for details. The final grade according to § 68 (2) AllgStuPO will be calculated with the faculty grading Table 2. (Die Gesamtnote gemäß § 68 (2) AllgStuPO wird nach dem Notenschlüssel 2 der Fakultät IV ermittelt.)

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

The maximum capacity of students is 8.

Registration Procedures

Students are required to register for the course in the official TUB examination system within six weeks after commencement of the first lecture or when the first graded assignment is due, whichever happens to be first.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
Seminar specific literature (hot topics ...) will be published in the first lecture.

Assigned Degree Programs


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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.
This course targets Master's students interested in data management, database systems, as well as technologies and systems for big data management and data science. This seminar is one of the eligible courses for those following the Fak. IV Data Science and Engineering Track: https://www.tu.berlin/en/dima/analytics/data-science-and-engineering-track.

Miscellaneous

No information