Module CS4172-KP04, CS4172

Duration

1 Semester

Turnus of offer

each summer semester

Credit points

4

Course of studies, specific fields and terms:

• Bachelor Computer Science 2019, optional subject, major subject informatics
• Bachelor Robotics and Autonomous Systems 2020 , optional subject, computer science
• Bachelor Computer Science 2016, optional subject, major subject informatics
• Bachelor Robotics and Autonomous Systems 2016, optional subject, computer science
• Bachelor IT-Security 2016, compulsory, IT-Security
• Bachelor Computer Science 2014, optional subject, central topics of computer science
• Bachelor Computer Science 2014, compulsory, specialization field IT security and safety
• Bachelor Computer Science 2012, compulsory, specialization field IT security and safety
• Master Computer Science 2012, optional subject, advanced curriculum security
• Master Computer Science 2012, optional subject, specialization field software systems engineering
• Master Computer Science 2012, optional subject, advanced curriculum parallel and distributed system architecutres
• Master Computer Science 2012, optional subject, specialization field robotics and automation

Classes and lectures:

• Dependability of Computing Systems (exercise, 1 SWS)
• Dependability of Computing Systems (lecture, 2 SWS)

Workload:

• 20 hours exam preparation
• 45 hours in-classroom work
• 55 hours private studies

Contents of teaching:

• Basic terms
• General redundancy techniques
• Fault diagnosis
• Reconfiguration and recovery
• Fault masking
• Examples for fault-tolerant systems

Qualification-goals/Competencies:

• The students are able to present the most important fault types in hardware and software and their abstraction to fault models.
• They are able to elucidate the basic redundancy techniques (static and dynamic redundancy, hybrid forms etc.).
• They are able to explain various methods for fault diagnosis, reconfiguration, recovery and fault masking.
• They are able to describe typical application examples and sample fault-tolerant computers.
• They are able to analyze fault tolerance techniques quantitatively by mathematical reliability models.
• They are able to valuate and compare suitable fault tolerance techniques and to select them for a given application area.

Grading through:

• Written or oral exam as announced by the examiner

Responsible for this module:

• Prof. Dr.-Ing. Mladen Berekovic

Teacher:

• Institute of Computer Engineering
• Prof. Dr.-Ing. Mladen Berekovic

Literature:

• E. Dubrova : Fault-Tolerant Design Springer 2013
• K. Echtle : Fehlertoleranzverfahren Springer 1990
• I. Koren, C. M. Krishna : Fault Tolerant Systems Morgan-Kaufman 2007
• K. Trivedi : Probability and Statistics with Reliability, Queuing, and Computer Science Applications Wiley 2001

Language:

• offered only in German

Notes:

Last Updated:

02.09.2021