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

Technical Information Systems

Degree programme Bachelor Electrical Engineering Dual
Subject area Engineering Technology
Type of degree Bachelor
Part-time
Winter Semester 2024
Course unit title Technical Information Systems
Course unit code 074742056303
Language of instruction English
Type of course unit (compulsory, optional) Compulsory optional
Teaching hours per week 2
Year of study 2024
Level of the course / module according to the curriculum
Number of ECTS credits allocated 3
Name of lecturer(s) Markus SEEBERGER, Heidi WEBER
Requirements and Prerequisites

Module "Computer Science", Semester 1 to 4

Course content
  • Information systems in the business environment (eg CAD / CAM, ERP, data warehouse, data mining)
  • System Architectures (N-Tier, Cloud)
  • Basic principles of relational databases
  • Entity relationship model as data modeling technique
  • SQL as a database query language
  • Transactions, data integrity and views
  • XML and protocols for data exchange
  • data quality
Learning outcomes

Upon successful completion of the course, students, will be able to explain the principles and interaction of essential information systems in an operational environment, provide data generated in an embedded system at the required quality for those systems.

Planned learning activities and teaching methods

Lectures, exercises and case studies, group works

Assessment methods and criteria

Written examination, collaboration, immanent examination character

Comment

-

Recommended or required reading
  • Baker, Richard; lnc, mEm (2020): Learning XML: The Ultimate Beginner’s Guide to Learn XML Programming Step by Step. Independently published.
  • Beaulieu, Alan (2020): Learning SQL: Generate, Manipulate, and Retrieve Data.
  • Elmasri, Ramez; Navathe, Shamkant B. (2016): Fundamentals of Database Systems, Global Edition. 7th Revised edition. Pearson Education Limited.
  • Jukic, Nenad; Vrbsky, Susan; Nestorov, Svetlozar (2017): Database systems: introduction to databases and data warehouses.
  • Kline, Kevin E.; Kline, Daniel; Hunt, Brand (2008): SQL in a nutshell: a desktop quick reference ; covers MySQL, Oracle, PostgreSQL, and SQL server. 3. ed. Sebastopol, Calif. (u.a.): O’Reilly. Online im Internet: URL: http://vlb-content.vorarlberg.at/fhbscan1/330900085568.pdf.
  • Kline, Kevin u.a. (2017): SQL in a Nutshell: A Desktop Quick Reference Guide. 4th edition. O’Reilly UK Ltd.
  • Laudon, Kenneth C; Laudon, Jane Price (2020): Management information systems: managing the digital firm. 16th Ed. Pearson Education Canada.
  • Meier, Andreas; Kaufmann, Michael (2019): SQL & NoSQL databases. New York, NY: Springer Berlin Heidelberg.
  • Petrov, Alex (2019): Database internals: a deep dive into how distributed data systems work. First edition. Sebastopol, CA: O’Reilly Media.
  • Powell, Gavin (2020): Database modeling step by step.
Mode of delivery (face-to-face, distance learning)

Face to face