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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.

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

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:

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