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#40322 / #4

SS 2017 - WS 2018/19

English

Algorithmic Research in Teams

9

Niedermeier, Rolf

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34351100 FG Algorithmik und Komplexitätstheorie

No information

Kontakt


TEL 5-1

Thielcke, Christlinde

lehre@akt.tu-berlin.de

Learning Outcomes

On successful completion, students will be able to: - approach concrete problems in algorithmic research - present in written and oral form their research findings in a concise and understandable manner - judge and classify current research results as well as their own findings

Content

The research project addresses recent selected research publications. Typically, the research topics will feature questions in algorithmic research, e.g., data clustering, computational social choice, data mining, graph algorithms with applications, social network analysis. The project will contain the following parts of algorithmic research: - Reading and understanding of previous research contributions. - Identification of open questions and potential improvements. - Active participation in the research process together with other participants and the advisors. - Development of technical writing skills in English. - Submitting a small paper for publication to an international venue. The participants will work in groups of size two or three in close cooperation with the advisors.

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Algorithmic Research in TeamsPJ0434 L 234k.A.No information6

Workload and Credit Points

Algorithmic Research in Teams (PJ):

Workload descriptionMultiplierHoursTotal
Independent reading & research, drafting of manuscripts15.012.0h180.0h
Presence15.06.0h90.0h
270.0h(~9 LP)
The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

The algorithmic research project will feature - joint informal research discussions, - presentations of research results by the participants, and - drafting of an English manuscript with the help of the advisors.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Basic knowledge of algorithms

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

No information

Language

English

Test elements

NamePoints/WeightCategorieDuration/Extent
(Ergebnisprüfung) manuscript50written15 pp
(Ergebnisprüfung) oral presentation in the course50oral60 min

Grading scale

This exam uses its own grading scale (see test description).

Test description (Module completion)

According to §47 (2) AllgStuPO the grade will be calculated applying grading key 1 of Fakultät IV, it may however be altered in favour of the students.

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 9.

Registration Procedures

http://www.akt.tu-berlin.de/menue/teaching/

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
Slides will be made available during the lecture period: www.isis.tu-berlin.de

 

Literature

Recommended literature
No recommended literature given

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.

Miscellaneous

This course is not offered regularly, you will find detailed information on our website: http://www.akt.tu-berlin.de/menue/teaching/