Fundamentals of Data Management (E)
Niveau
First cycle, Bachelor
Learning outcomes of the courses/module
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 for the course
not applicable
Course content
• 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 specialist literature
- 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
English
Number of ECTS credits awarded
1.5
Share of e-learning in %
15
Semester hours per week
1.0
Planned teaching and learning method
Lecture, case studies, exercises
Semester/trimester in which the course/module is offered
1
Name of lecturer
Prof. (FH) Dr. Claudia Van der Vorst, MBA
Academic year
Second year of studies
Key figure of the course/module
vzINF2
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
not applicable