Semester:WS 19/20
Type:Module
Language:English
ECTS-Credits:3.0
Scheduled in semester:1
Semester Hours per Week / Contact Hours:24.0 L / 18.0 h
Self-directed study time:72.0 h
Type:Module
Language:English
ECTS-Credits:3.0
Scheduled in semester:1
Semester Hours per Week / Contact Hours:24.0 L / 18.0 h
Self-directed study time:72.0 h
Module coordination/Lecturers
- Dr. Nadine Székely
(Modulleitung)
Curricula
Master's degree programme in Information Systems (01.09.2015)Description
Short description
The course focuses on data management and process management, which are complementary approaches for developing and implementing information systems in organizations.
Topics
- Introduction to process and data management
- Information management, data management, and IS strategy
- Process modeling
- Data modeling
- Reference models
Learning Outcomes
- Students will know how information systems can be described from different, complementary perspectives.
- Students will know basic methods of data and process modeling in order to analyze, design, and implement information systems in organizations.
- In exercises, students will use methods of data and process modeling in order to analyze, design, and implement information systems in organizations.
Qualifications
Lectures Method
The module integrates theoretical knowledge and practical skills in an interactive lecture.The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Literature
- Compulsory readingBecker, J., Kugeler, M., & Rosemann, M. (Eds.). (2014). Process Management: A Guide for the Design of Business Processes (2. ed.). Springer.Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2013). Fundamentals of business process management (pp. I-XXVII). Heidelberg: Springer.Watson, R. T. (2016). Data management, databases and organizations (6. ed.). John Wiley & Sons.
Exam Modalities
Written Exam (60 min)