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Course Outline: 0432 L 998 VL Markov chain modeling of communication systems
Introduction 

Contents 
The goal of this lecture is to introduce students to the theory and practice of Markov chain modeling in communication systems. Markov chains are a class of stochastic processes that is applicable to modeling a wide range of phenomena in communications and networking, for example queueing in routers, performance of retransmission protocols, performance of medium access control protocols and many more. At the same time, many Markov models are still tractable enough to be evaluated analytically or numerically. The basic theory of Markov chains will be developed, a range of modeling examples from the domain of communication systems and networks will be discussed, and students will also be given opportunity to develop and evaluate own models. 
Prerequisites 
BSc module „Kommunikationsnetze” or similar knowledge is required. 
Lecture topics 

Timetable 
Due to the limited availability of the lecturer the course will be given as a block course. More specifically, the times will be: Wed, Dec 3: 1  6 pm Wed, Dec 10: 1  6 pm Sat, Dec 13: 10 am  3 pm Wed, Dec 17: 1  6 pm Wed, Jan 7: 1  6 pm, Deadline for assignment which gives 25 contact hours in total. Each of these lecture days will be split in two parts. The first part will be a classical lecture, the second part will be a mixture of a tutorial (in which a range of example problems and modeling examples is presented by the lecturer) and own work on small modeling examples. The oral exams will be held on (or around) Wed, Jan 14. I will make individual appointments with students. 
Assessment 

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Zusatzinformationen / Extras
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