|
This course sheds light on the assessment of large information systems from multiple conceptual angles and on different levels of granularity.
As a central learning objective, participants will be provided with a differentiated conceptual apparatus to assess characteristics of distributed information systems and to reason about the quality, economic value, and ethical implications of different architectural alternatives and implementation techniques of information systems.
This course is the follow-up of INFOEBU E-business. You can list only one of the two courses in your study program.
Assessment
Midterm and final exam.
A repair test requires at least a 4 for the original test.
Intended learning outcomes
ILO1: Discuss and apply prevalent modeling languages and techniques to model distributed organizational and technological systems and recognize their benefits and drawbacks.
ILO2: Discuss a differentiated conceptual apparatus to assess characteristics of distributed information systems and to reason about the quality, economic value, and implicati9ons of different architectural alternatives and implementations choices of information systems.
ILO3: Acquire knowledge on business architectures that build on digital interorganizational structures.
ILO4: Understand the relevance of standardized data formats, data communication, and data processing for the integration of distributed systems.
Grading criteria
The Architectures of Digital Ecosystems course will be graded based on practical assignments, a mid-term exam, and a final exam. The final grade consists of a practical grade and an exam grade. Both the practical grade and the exam grade count for 50% of the final grade.
The practical grade is a weighted average of the following assignments:
Assignment 1: ‘e3 value modeling’ (weight = 20%) Assignment 2: ‘ArchiMate’ (weight = 20%) Assignment 3: ‘Multilevel modeling’ (weight = 20%) Assignment 4: ‘ESEA method specification’ (weight = 20%) Assignment 5: ‘XML’ (weight = 20%)
[Status: 2021/2022, assignments and weights may change]
The exam grade consists of the mid-term exam and the final exam grades. The mid-term exam counts for 40% and the final exam counts for 60% of the exam grade.
|
 |
|
Information Science deals with information systems in the large and is based on an understanding of information systems as the interplay between humans and technological components in distributed contexts.
In order to assess characteristics of such systems, a differentiated terminology and specialized modeling techniques, as well as an understanding of universal technological instruments for integration are needed.
The course topics are:
- Value modeling
- Enterprise architecture modeling
- Multi-level conceptual modeling
- Supply chain and e-commerce architectures
- Integration technologies
- Assessment of integration quality
In the tutorial part of the course, approaches for modeling and implementing integrated distributed systems will be applied by the participants in practical case-studies.
Course form
Lectures and tutorials.
Literature
Course material will be provided during the course.
|
|