Moses - Social and Economic Network Analysis

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SoSe 2022 - SoSe 2023. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#70343 / #4

Validity:
SoSe 2022 - SoSe 2023

Default display language:
English

Module title:
Social and Economic Network Analysis

Credits:
6

Responsible person:
Teubner, Timm-Christopher

Grading:
benotet

Type of exam:
Schriftliche Prüfung

Zugehörigkeit

Faculty:
Fakultät VII

Institute:
Institut für Technologie und Management

Area of expertise:
37331700 FG Vertrauen in digitale Dienste

Prüfungsausschuss:
Betriebswirtschaftslehre

Kontakt

Office:
No information

Contact person:
Tran Nhat, Ha Diana

E-mail address:
tran.nhat@tu-berlin.de

Website:

https://www.tu.berlin/tds

Learning Outcomes

This module’s aim is to convey a basic understanding about the paradigms and intricacies of digital platform models. Covered topics include: • The sharing economy and crowd-based capitalism • User motives and user types • The economics of multi-sided markets • User representation on digital platforms • Prices and pricing strategies • Trust and reputation systems

Content

Digital platforms are experiencing increasing importance and impact. Two-sided markets extend existing “traditional” offers in many domains already. Examples include platforms for short-term accommodation rental, crowd work, delivery services, and auction platforms. The platform paradigm exhibits a set of unique characteristics and intricacies which will be explored in this course. This includes the design of platforms, mechanisms, and business models, the phenomena of network effects and critical mass, consumer types, motives, and behaviors, as well as the paramount importance of trust and reputation. The course is complemented by case studies and guest lectures held by industry partners.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Social and Economic Network Analysis (SENA)	VL	3800 L 9679	WiSe	German	2
Social and Economic Network Analysis (SENA)	UE		WiSe	German	2

Workload and Credit Points

Social and Economic Network Analysis (SENA) (VL):

Workload description	Multiplier	Hours	Total
Class attendance	15.0	2.0h	30.0h
			30.0h(~1 LP)

Social and Economic Network Analysis (SENA) (UE):

Workload description	Multiplier	Hours	Total
Class attendance	15.0	2.0h	30.0h
			30.0h(~1 LP)

Course-independent workload:

Workload description	Multiplier	Hours	Total
Class preparation and follow-up	15.0	4.0h	60.0h
Exam preparation	1.0	60.0h	60.0h
			120.0h(~4 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

• Lectures • Interactive discussion • Class room experiments • Coding workshops • Group work and presentations

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

There are no prerequisites for the participation in this module.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Written exam

Language

German/English

Duration/Extent

90 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:
Winter- und Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Registration is not required to participate in the module.

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

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

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information

Social and Economic Network Analysis