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Fundamentals of Data Management (E)
level of course unit
First cycle, BachelorLearning outcomes of course unit
The students are able to:
• Understand the history and fundamentals of information systems.
• Classify and categorize computer systems.
• Recognize and analyze the specifics and requirements of today’s companies.
• Identify technologies, products and trends of information systems.
• Know ERP, SCM, CRM and be able to differentiate between them.
• Apply the fundamentals of data security.
• Obtain an overview of networks, the Internet and the cloud and analyze them.
• Classify information systems and the integration of mobile devices.
• Identify and differentiate interfaces.
• Understand and classify the use of sensors.
• Differentiate between different programming languages.
• Understand the history and fundamentals of information systems.
• Classify and categorize computer systems.
• Recognize and analyze the specifics and requirements of today’s companies.
• Identify technologies, products and trends of information systems.
• Know ERP, SCM, CRM and be able to differentiate between them.
• Apply the fundamentals of data security.
• Obtain an overview of networks, the Internet and the cloud and analyze them.
• Classify information systems and the integration of mobile devices.
• Identify and differentiate interfaces.
• Understand and classify the use of sensors.
• Differentiate between different programming languages.
prerequisites and co-requisites
not applicable
course contents
• Fundamentals of information systems incl. economic aspect
• Understanding and differentiating the structure of information systems
• Identification of interfaces to mobile devices as well
• Cloud computing
• Technical structure and history; networks, interfaces
• Structure and logical structure of programs and overview of programming languages e.g. web programming
• Data security
• Hardware software components
• Reporting
• Permissions
• Testing
• Technical design of systems, sensors and mobile terminals
• Understanding and differentiating the structure of information systems
• Identification of interfaces to mobile devices as well
• Cloud computing
• Technical structure and history; networks, interfaces
• Structure and logical structure of programs and overview of programming languages e.g. web programming
• Data security
• Hardware software components
• Reporting
• Permissions
• Testing
• Technical design of systems, sensors and mobile terminals
recommended or required reading
- Bocij, Greasley, Hickie (2008): Business Information Systems, 5th Ed. , Pearson Studium Munich.
- Wagner, Hüttel, Backin (2012) Einführung Wirtschaftsinformatik: IT-Grundwissen für Studium und Praxis, Springer, Gabler Verlag
- Laudon, Schoder (2009): Wirtschaftsinformatik, eine Einführung, 2rd Ed. Pearson Studium München.
- Gronwald (2015) Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics - Prozesssimulation, Rollenspiel, Serious Gaming (eXa-men.press), Springer Vieweg Verlag.
- Alpar, Alt (2014), Anwendungsorientierte Wirtschaftsinformatik: Strategische Pla-nung, Entwicklung und Nutzung von Informationssystemen, 7. Aufl.Springer Verlag
- Chamoni, Gluchowski (2010): Analytische Informationssysteme: Business Intelligence-Technologien und –Anwendungen, Springer Verlag Berlin und Heidelberg
- Tanenbaum, Goodman (2005): Computerarchitektur:
- Wagner, Hüttel, Backin (2012) Einführung Wirtschaftsinformatik: IT-Grundwissen für Studium und Praxis, Springer, Gabler Verlag
- Laudon, Schoder (2009): Wirtschaftsinformatik, eine Einführung, 2rd Ed. Pearson Studium München.
- Gronwald (2015) Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics - Prozesssimulation, Rollenspiel, Serious Gaming (eXa-men.press), Springer Vieweg Verlag.
- Alpar, Alt (2014), Anwendungsorientierte Wirtschaftsinformatik: Strategische Pla-nung, Entwicklung und Nutzung von Informationssystemen, 7. Aufl.Springer Verlag
- Chamoni, Gluchowski (2010): Analytische Informationssysteme: Business Intelligence-Technologien und –Anwendungen, Springer Verlag Berlin und Heidelberg
- Tanenbaum, Goodman (2005): Computerarchitektur:
assessment methods and criteria
final exam, term paper
language of instruction
Englishnumber of ECTS credits allocated
1.5eLearning quota in percent
15course-hours-per-week (chw)
1planned learning activities and teaching methods
Lecture, case studies, exercises
