- foundations of problem solving and system modeling, discrete event systems - properties of processes, modeling using automata and Petri-nets - design considerations for processes (mutex, deadlock avoidance, liveness) - optimal scheduling for processes - optimal decisions when planning manufacturing systems, decisions under uncertainty - software design and software architectures for automation, PLCs
Performance accreditation:
605 - Industrial Process Automation<ul><li>605 - Industrial Process Automation: Klausur schriftlich</li></ul><br>606 - Industrial Process Automation<ul><li>605 - Industrial Process Automation: Klausur schriftlich</li><li>805 - Industrial Process Automation - Exercises: Excercises</li></ul><br>m633 - Industrial Process Automation<ul><li>p106 - Industrial Process Automation: Klausur schriftlich</li><li>vl19 - Industrial Process Automation - Exercises: Excercises</li></ul>