Fachbereich 6 Mathematik/Informatik

Institut für Informatik

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Masterseminar Uncertainty in Automation Systems
Untertitel:Uncertainty in Automation Systems
Dozent:Prof. Dr.-Ing. Werner Brockmann, Jonas Schneider, M. Sc., Jan Hendrik Schoenke, M. Sc.
Veranstaltungstyp:Seminar (Offizielle Lehrveranstaltungen)
Beschreibung:Automation systems cover a vast range of applications like industrial systems for production of chemicals or packaging of goods, avionics for flying airplanes, automotive systems for driving cars and measurement systems for predicting the weather. The tasks such automation systems perform grow more and more complex. Concurrently the demands on their dependability increase as well, especially in case of human interaction where every potential fault or misbehavior could cause severe consequences. One of the most challenging problems in operating these automation systems is uncertainty. Uncertainty arises from different sources such as noise, ambiguity, ignorance or uncertain interaction with the environment. It severely affects the quality and validity of the information the automation system needs to process in order to perform its task.

To allow the automation system to safely keep on performing its task even in the presence of uncertainties it must be able to reflect about the uncertainties it has to deal with and should display these uncertainties to all of its users as far as the performance of the task is affected. This seminar hence covers topics from the intersection of uncertainty and automation. It will include different strategies for representing uncertainty, methods that employ the use of information about uncertainty and how those concepts are integrated into the system architecture. Based on some given papers and/or books every student should further explore the literature for the specific topic. The topic will be presented orally at the seminar and a written report summarizes the literature in detail.

Topics of interest are:
• Uncertainty representations and modelling
• Architectures for explicit uncertainty treatment
• Methods for handling both data and uncertainty
• Examples for applications with uncertainty treatment
• Machine-to-Machine communication
• Human-Machine-Interaction
• Risk assessment

Note: This seminar is a valuable preparation especially for our upcoming project group in summer term 2015.
Semester:WS 2014/15
Zeiten:Mi. 12:00 - 14:00 (wöchentlich)
Erster Termin:Mi , 22.10.2014 12:00 - 14:00, Ort: 69/E18