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#40407 / #3

SS 2017 - SS 2019

English

Digital Communities

6

Küpper, Axel

benotet

Mündliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Telekommunikationssysteme

34335700 FG S-Professur Service Centric Networking (SNET)

No information

Kontakt


TEL 19

Göndör, Sebastian

axel.kuepper@tu-berlin.de

Learning Outcomes

Students who have successfully finished this module have an overview of current and future concepts for digital communities. They have developed an understanding of the principles of graph theory, concepts of network analysis, and principles of social network analysis, and have learned about the concepts of recommender systems. They are also aware of the limitations and privacy issues of concepts and applications in digital communities.

Content

The module starts with an introduction to the fundamentals of digital communities and an overview of related concepts. This includes methods and applications for graph theory, network analysis, and social network analysis. For example, different types of graphs and networks are discussed, as well as various measures for network analysis. The second part of the module covers topics related to recommender systems. This includes, for example, content-based and collaborative recommendation techniques, but also advanced concepts for model-based recommendations. The module concludes with an overview and discussion of the latest trends and developments in digital communities.

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Digital CommunitiesIV0433 L 707WiSeNo information4

Workload and Credit Points

Digital Communities (IV):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.04.0h60.0h
Vor-/Nachbereitung15.08.0h120.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The topics of this module are taught in a classical lecture, which also envisages a related discussion between students and lecturer. Selected topics are further covered in an exercise course with frequent assignments. Each assignment contains several problems, which are to be solved by the students. During practical lessons, the solutions are then presented and discussed.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Mandatory: basic knowledge of computer science. Desirable: knowledge of graph theory and linear algebra, basic programming skills.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral exam

Language

English

Duration/Extent

30 min

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:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 50.

Registration Procedures

Enrollment for this course takes place during the first week of the semester. The details of the enrollment procedure are announced during the first lecture.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
Accompanying material such as research papers, homework, links and presentation slides will be available via the online forum.

 

Literature

Recommended literature
Literature recommendations will be announced at the beginning of the semester.

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

No information