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#40322 / #8

Seit SoSe 2023

English

Algorithmic Research in Teams

9

Weller, Mathias

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.English6

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. Having successfully passed one or more of the following courses is strongly advised: Advanced Algorithmics, Parameterized Algorithmics, Randomized Algorithms, Economics and Computation, Computational Complexity, or Approximationsalgorithmen (ADM III) .

Mandatory requirements for the module test application:

1. Requirement
Modul40667 [Randomisierte Algorithmik] registered  or
Modul20091 [Approximationsalgorithmen (ADM III)] registered  or
Modul40025 [Höhere Algorithmik] registered  or
Modul40911 [Economics and Computation] registered  or
Modul40627 [Parametrisierte Algorithmik] registered  or
Modul40379 [Komplexitätstheorie] registered

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
(Deliverable assessment) manuscript40written15 pp
(Deliverable assessment) oral presentation in the course30oral60 min
(Deliverable assessment) review of other manuscript10written1 - 2 pp
(Learning process review) participation in group research discussions20flexibleNo information

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
Computer Engineering (M. Sc.)16SoSe 2023SoSe 2024
Computer Science (Informatik) (M. Sc.)19SoSe 2023SoSe 2024
Elektrotechnik (M. Sc.)16SoSe 2023SoSe 2024
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)13SoSe 2023SoSe 2024

Miscellaneous

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