Module CS5150-KP04, CS5150

Duration

1 Semester

Turnus of offer

irregularly

Credit points

4

Course of studies, specific fields and terms:

• Master Entrepreneurship in Digital Technologies 2020, advanced module, specific
• Master Medical Informatics 2019, optional subject, bioinformatics
• Master Medical Informatics 2014, optional subject, bioinformatics
• Master Computer Science 2012, optional subject, advanced curriculum parallel and distributed system architecutres
• Master CLS 2010, optional subject, computer science
• Master Computer Science 2012, compulsory, advanced curriculum organic computing
• Master Computer Science 2012, optional subject, specialization field robotics and automation

Classes and lectures:

• Organic Computing (exercise, 1 SWS)
• Organic Computing (lecture, 2 SWS)

Workload:

• 60 hours private studies
• 15 hours exam preparation
• 45 hours in-classroom work

Contents of teaching:

• Basic principles of Organic Computing
• Self-organization and emergence
• Architecture and design of Organic Computing systems
• Organic Computing for distributed systems
• Organic Computing in Neuro- and Bionformatics
• Organic Grid
• Autonomous Systems

Qualification-goals/Competencies:

• Students are able to utilize the principles of organic computing on exemplary designs.
• They are able to explain the principles of Organic Computing.
• They are able to analyze emergence behavior in Organic Computing systems.

Grading through:

• written exam

Responsible for this module:

• Prof. Dr.-Ing. Mladen Berekovic

Teacher:

• Institute of Computer Engineering
• Dr. rer. nat. Javad Ghofrani

Literature:

• C. Müller-Schloer, H. Schmeck, T. Ungerer : Organic Computing – A Paradigm Shift for Complex Systems Birkhäuser, 2011
• R. P. Würtz : Organic Computing Springer, 2008
• C. Klüver, J. Kluever, J. Schmidt : Modellierung komplexer Prozesse durch naturanaloge Verfahren Springer Vieweg 2012

Language:

• offered only in German

Notes:

Last Updated:

06.01.2025