The courses at the Department of Trust in Digital Services are primarily aimed at students of Industrial Engineering and Management, Business Informatics, Industrial Economics and Sustainable Management (NaMa).
In the summer semester 2024, only the module "Web Service Engineering" will be offered. From winter semester 24/25 on, the modules "Data Science Toolbox", "Social and Economic Network Analysis", and "Web Service Engineering" will be offered every semester.
ID | Title | Type | Credit points | Term |
70343 | Social and Economic Network Analysis | VL + UE | 6 ECTS | SS & WS |
70348 | Data Science Toolbox | VL + UE | 6 ECTS | SS & WS |
70444 | Web-Service Engineering | IV | 6 ECTS | SS & WS |
Course type | VL + UE |
Credit points | 6 ECTS |
Term | Each summer and winter semester |
Workload | 4 SWS + exam preparation |
Language | German/English |
Exam type | Written exam (90 minutes, graded) |
Degree programs | Information Systems Management (B.Sc./M.Sc.) |
Industrial Engineering and Management (B.Sc./M.Sc.) | |
Industrial Economics (M.Sc.) | |
Business Mathematik (B.Sc./M.Sc.) | |
Kick-off | 18.10.2023 |
Lecture | Wednesday, 4-6 pm (c.t.) in room EB 407 |
Tutorial | Thursday (biweekly, from 26.10.2023), 4-6 pm (c.t.) in room TC 010 |
1st exam | TBA |
2nd exam | TBA |
Our world and in particular professional life are increasingly governed by data. Due to steadily amount, complexity, and importance of data, properly dealing with data has emerged as one, if not the most important competency today – basically regardless of business domain. This course will cover a “tool box” of methods for dealing with data and information, following the information life cycle. This includes approaches to collect data (e.g., by surveys, experiments, web crawling techniques), structuring and pre-processing (e.g., filtering, clustering), data visualization (e.g., static, online, networks), as well as analytical methods (network analysis). Moreover, the course covers fundamental statistical questions and applies the learned content directly within tools such as Java and R. The covered content is complemented and practically recapitulated by means of case studies and data-based examples. Moreover, the course is accompanied by guest lectures from practice. As a result, the course’s participants will learn to independently design and implement data-based projects.
The course’s objective is to convey a basic understanding for data-based projects and research objectives as well as practical skills to deal with data. This will include, among other aspects, the following topics: Survey and Experiment Design, Execution, and Evaluation • Web Crawling • Data Visualization • Filtering and Clustering • Data Cleaning and Pre-processing • (Social) Network Analysis • Machine Learning 101 • Linear Regression • Research Ethics.
Course type | VL + UE |
Credit points | 6 ECTS |
Term | Each summer and winter semester |
Workload | 4 SWS + exam preparation |
Language | German/English |
Exam type | Written exam (90 minutes, graded) |
Degree programs | Information Systems Management (B.Sc./M.Sc.) |
Industrial Engineering and Management (B.Sc./M.Sc.) | |
Industrial Economics (M.Sc.) | |
Business Mathematics (B.Sc./M.Sc.), or similar | |
Kick-off | 16.10.2023 |
Lecture | Monday, 4-6 pm (c.t.) in room H 1028 |
Tutorial | Wednesday (biweekly, from 25.10.2023), 12-2 pm (c.t.) in room H 1058 |
1st exam | TBA |
2nd exam | TBA |
Digital platforms are becoming increasingly important. Two-sided markets complement and extend traditional mode of consumption in many domains already today. Examples include short-term accommodation sharing, crowd work, delivery services, resale- and auction platforms, as well as ride sharing markets. Importantly, the platform principle bears several particularities which will be examined in this course. Central to the design and operation of digital platforms and associated business models is the existence of network effects, different user types und motives, and the paramount importance of trust and – based on this – the role of reputation systems and management. Case studies and guest lectures by partners both from industry and academia will complement the course.
The course’s objective is to convey a basic understanding of the paradigms and intricacies of digital platforms and platform business models. The course will, among other content, cover the following subjects: Sharing Economy and Crowd-based Capitalism • User Motives and Types • Economics of Multi-sided Markets • User Representation on Digital Platforms • Pricing Strategies • Trust and Reputation Systems.
Course type | IV |
Credit points | 6 ECTS |
Term | Each summer and winter semester |
Workload | 4 SWS |
Language | German/English |
Exam type | Portfolio examination (graded) |
Degree programs | Sustainable Management (B.Sc.) |
Industrial Economics (M.Sc.) | |
Economics (B.Sc.), or similar | |
Kick-off | TBA |
Dates | TBA |
Room | TC 010 |
In this practice module, theoretical knowledge about digital business models and interactive data exploration acquired in other modules of the subject area is applied in practice. The module is dedicated to the prototype-ready development and design of digital services based on scientific methods and findings. The course can be conducted in cooperation with external mentors. Graduates of this module will demonstrate competencies in the following areas:
Furthermore, students who have completed the course are qualified to work on development tasks in teams, to document their approach and to present the results in a professional manner. They are able to independently design their own digital service concepts and realize functional website or platform prototypes
The event is divided into three blocks:
BLOCK 1: Kick-off event: Choice of topics and formation of groups
BLOCK 2: Interim presentation: presentation of interim status approx. 4 weeks after project kick-off
BLOCK 3: Final event: Submission of a functional prototype (web-based) • Oral presentation of the results • Written documentation (slide deck and appendix, etc.)
The portfolio examination consists of the following study-related examination elements:
The above examination elements can be completed in both German and/or English.
*It must be possible for the supervisors to interactively operate the developed online platform without major disruptions.