Information on individual educational components (ECTS-Course descriptions) per semester

Degree programme:Bachelor Electrical Engineering Dual
Type of degree:FH BachelorĀ“s Degree Programme
 Winter Semester 2020

Course unit titleTechnical Information Systems
Course unit code07475733
Language of instructionEnglish
Type of course unit (compulsory, optional)Compulsory optional
Semester when the course unit is deliveredWinter Semester 2020
Teaching hours per week2
Year of study2020
Level of course unit (e.g. first, second or third cycle)First Cycle (Bachelor)
Number of ECTS credits allocated3
Name of lecturer(s)Heidi WEBER

Prerequisites and co-requisites
  • Communication Systems
  • Software Engineering and Test
Course content
  • RDBMS fundamentals
  • Entity-Relationship-Model for data modelling
  • SQL for database queries
  • System architectures (N-Tier, Cloud)
  • Transactions, data integrity and views
  • XML and data exchange protocols
  • Data quality
  • Information systems in the operational environment (e.g. CAD/CAM, ERP, Data Warehouse, Data Mining)
Learning outcomes

Students who pass this course are able to explain

  • the basic structure of database systems
  • how all the information systems of an enterprise work together and
  • how data generated by embedded systems are made up to be sent to those host systems.
Planned learning activities and teaching methods
  • Lecture
  • Seminar
  • Case study
  • Group work
Assessment methods and criteria

Written, comprehensive examination, final assessment.



Recommended or required reading
  • Elmasri, Ramez; Navathe, Shamkant B. (2016): Fundamentals of Database Systems, Global Edition. 7th Revised edition. Pearson Education Limited
  • Harold, Elliotte Rusty; Means, W. Scott; Udemadu, Katharina (2005): XML in a nutshell. 3. Aufl., Ausg. Köln (u.a.): O’Reilly
  • Nield, Thomas (2016): Getting Started with SQL: A Hands-on Approach for Beginners. 1. Aufl. O’Reilly Media, Inc, USA
  • Otto, Boris; Österle, Hubert (2015): Corporate Data Quality: Corporate Data Quality: Prerequisite for Successful Business Models - Voraussetzung erfolgreicher Geschäftsmodelle. 1. Aufl. 2016 edition. Berlin: Springer Gabler
Mode of delivery (face-to-face, distance learning)


Winter Semester 2020go Top