inf696 - Current Topics in 'Business Informatics' III (Complete module description)

Module label	Current Topics in 'Business Informatics' III
Modulkürzel	inf696
Credit points	3.0 KP
Workload	90 h
Institute directory	Department of Computing Science
Verwendbarkeit des Moduls	Master's Programme Business Informatics (Master) > Akzentsetzungsmodule Bereich Wirtschaftsinformatik Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik Master's Programme Computing Science (Master) > Angewandte Informatik
Zuständige Personen	Marx Gómez, Jorge (module responsibility) Sauer, Jürgen (module responsibility) Staudt, Philipp (module responsibility) Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites	No participant requirements
Skills to be acquired in this module	This module integrates current developments in the field, especially with a focus on business intelligence, in adequate study courses. Professional competences The students: define and contrast a computer science part, in which they are specialised, in detail or evaluate computer science in general recognise and evaluate applied techniques and methods of their subject and are aware of their limits identify, structure and solve problems/tasks, also in new or developing subject areas apply state of the art and innovative methods to solve problems, if necessary from other disciplines are aware of the current limits and contribute to the development of computer science research and technology discuss and evaluate recent computer science developments Methodological competences The students: examine tasks with technical and research literature, write an academic article and present their solutions academically evaluate problems/tasks, including new or developing subject areas of their discipline and apply computer science methods for solutions and research schedule time processes and resources Social competences The students: communicate with users and experts convincingly Self-competences The students: pursue the overall and special computer science development critically develop and reflect self-developed hypotheses to theories independently
Module contents	See assigned course description
Literaturempfehlungen	As assigned in course
Links
Language of instruction	German
Duration (semesters)	1 Semester
Module frequency	irregular
Module capacity	unlimited
Teaching/Learning method	1S + 1VL
Previous knowledge	none

Examination	Prüfungszeiten	Type of examination
Final exam of module	At the end of the lecture period	Presentation or oral exam

Lehrveranstaltungsform	Course or seminar
SWS	2
Frequency	siehe Angebotsrhythmus Modul