TM8101 - Dependability Analysis of Information and Communication Systems


Lessons are not given in the academic year 2017/2018

Course content

The course is taught every second year, next time spring 2019.

Topics are: Modelling with state diagrams (discrete state continuous time Markov chains) and stochastic Petri-nets. Modelling of systems with distribution, fault-tolerance and co-operating software objects. Pros and cons of methods with respect to problems addressed. Analytical methods for state based systems, included system times, the rate of (rarely occurring) system failures, measurement of interval availability and availability guarantees, truncation of state spaces. Simulation techniques to provoke rare events like importance sampling and splitting. Systems of systems – ICT systems the societal critical infrastructure – challenge and methods in the analysis.

Learning outcome

A. Knowledge:
1) A good understanding of the opportunities, methods and challenges in modeling, analysis and design of reliability in information and communication technology (ICT) system, where both hardware, software and networks are included.
2) In depth knowledge on how to deal with conditions that are specific for (highly) dependable ICT systems like rarely occurring events, decisions based on few observations and handling of large unstructured state spaces.
3) Basic knowledge of simulation of rare events.

B. Skills:
1) Manage to full the terminology and theoretical concepts in dependability area.
2) Be able to establish models for communications technology (ICT) system by means of continuous time, discrete state space Markov models and stochastic Petrinets (Stochastic Activity Networks).
3) Master approximate analysis techniques with truncation of large state spaces.
4) Master the approximate analytical methods to determine the distribution of short term measures like interval unavailability.

C. General competence:
1) Improved insight into the relation between application and economic aspects and the dependability of ICT systems.
2) Th ability to present, assess and discuss the research results of others.

Learning methods and activities

Colloquiums/interactive lectures, where it is expected that the students have familiarised themselves with the topic beforehand. Optional exercises. If there are more than 4 candidates a written exam will be considered. If there is a re-sit examination, the examination form may be changed from written to oral.

The grading rule is pass/fail. The minimum passing grade is 70/100 points (70%).

Required previous knowledge


Course materials

Journal and conference papers, etc. Announced at the beginning of the term.

Credit reductions

Course code Reduction From To
DIE5933 7.5


Detailed timetable


  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.