Module CS4504-KP08

Duration

2 Semester

Turnus of offer

each year, can be started in winter or summer semester

Credit points

8

Course of studies, specific fields and terms:

• Master Robotics and Autonomous Systems 2019, optional subject, Additionally recognized elective module

Classes and lectures:

• CS5153 T: Wireless Sensor Networks (lecture with exercises, 3 SWS)
• CS5150 T: Organic Computing (lecture with exercises, 3 SWS)

Workload:

• 130 hours private studies
• 20 hours exam preparation
• 90 hours in-classroom work

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

Qualification-goals/Competencies:

• 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:

• Prof. Dr.-Ing. Mladen Berekovic

Teacher:

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

Literature:

• 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

Language:

• offered only in English

Notes:

Last Updated:

26.10.2022