Modul CS4504-KP12, CS4504

Cyber Physical Systems (CPS)


2 Semester
Turnus of offer:

each year, can be started in winter or summer semester
Credit points:

Course of studies, specific field and terms:
  • Master Entrepreneurship in Digital Technologies 2020 (advanced module), technology field computer science, Arbitrary semester
  • Master Computer Science 2019 (optional subject), advanced module, Arbitrary semester
  • Master Robotics and Autonomous Systems 2019 (advanced module), advanced curriculum, 1st or 2nd semester
  • Master IT-Security 2019 (advanced module), Elective Computer Science, 1st or 2nd semester
  • Master Entrepreneurship in Digital Technologies 2014 (advanced module), technology field computer science, 2nd and/or 3rd semester
  • Master Computer Science 2014 (advanced module), advanced curriculum, 2nd and/or 3rd semester
Classes and lectures:
  • CS5150 T: Organic Computing (lecture with exercises, 3 SWS)
  • CS4504-S: Cyber Physical Systems (seminar, 2 SWS)
  • CS5153 T: Wireless Sensor Networks (lecture with exercises, 3 SWS)
  • 120 Hours in-classroom work
  • 20 Hours exam preparation
  • 220 Hours private studies
Contents of teaching:
  • basic principles of organic computing / self-x system properties
  • from motion to intelligent behavior and system/machine behavior
  • design for self-organization, robustness, adaptivity, flexibility, trust
  • analyzing, reverse-engineering, debugging machine behavior
  • designing experiments and measuring behavior
  • modeling system/machine behavior
  • complexity, opacity, obscurity, trust of (AI) systems and explainable AI
  • architecture of organic computing systems
  • applications of self-x systems
  • basics of wireless sensor networks
  • hardware aspects of sensor nodes
  • physics and protocols of wireless communication
  • routing in wireless networks
  • time synchronization and localization in wireless networks
  • data management and data processing in wireless sensor networks
  • applications of wireless sensor networks
  • Students are able to utilize the principles of organic computing/self-x systems on exemplary designs.
  • They are able to explain principles of organic computing/self-x systems.
  • They are able to analyze system/machine behaviors in a structured, sound approach.
  • Students are able to present the pros and cons of sensor networks.
  • They are able to cope with analysis, design, and evaluation of protocols in sensor networks.
  • They are able to interpret and pursue current research activities for sensor networks.
Grading through:
  • Oral examination
Responsible for this module:
  • Dr. rer. nat. Javad Ghofrani
  • C. Müller-Schloer, S. Tomforde: Organic Computing – Technical Systems for Survival in the Real World - Birkhäuser, 2017
  • H. Karl, A. Willig: Protocols and Architectures of Wireless Sensor Networks - Wiley, 2005
  • offered only in English

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- Successful completion of exercises as specified at the beginning of the semester.
- Seminar lecture and elaboration according to the requirements at the beginning of the semester

Module Exam(s):
- CS4504-L1: Cyber Physical Systems, oral exam, 100% of the module grade.

(Consists of CS5150 T, CS5153 T)

Letzte Änderung: