Course Information

Course Name	Turkish	Ağlarının Modellenmesi ve Başarım Analizi
	English	Modelling and Performance Analysis of Networks
Course Code	BLG 517E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	1	3	3	-	-
Course Language		English
Course Coordinator		Sema Fatma Oktuğ
Course Objectives		1. To introduce network structures used in various fields 2. To teach techniques in order to model networks 3. To provide a unified view of performance analysis of computer networks 4. To teach that the nodes in computer networks can be modeled by using the Markov queueing systems 5. To teach how to model a network system made of nodes
Course Description		Technological networks.. Social networks. Information networks. Biological networks. Network models: Random graphs, Random models with general degree distributions, models of network formation. Network flow models. Modelling input traffic. A quick introduction to stochastic processes. Markov models. Analysis of delay. Little’s rule. M/M/1, M/M/m, M/M/m/m queueing systems. Jackson’s theory. Jakson networks.
Course Outcomes		Understanding Markovian queueing systems, Understanding to represent Computer Networks as networks of queues, Understanding performance evaluation of computer networks under various traffic and service patterns, Understanding network traffic flow.
Pre-requisite(s)		Students are expected to be familiar with the basics of Computer Engineering.
Required Facilities
Other
Textbook		1) M.E.J. Newman, Networks, Oxford Univ. Press, 2010. 2) D. Gross, J.F. Shortle, J.M. Thompson, C.M. Harris, Fundamentals of Queueing Theory, Fourth Edition, Wiley, 2008.
Other References		- G. Giambene, Queueing Theory and Telecommunications: Networks and Applications, Springer, 2005. - D. Bertsekas and R. Gallager, Data Networks, 2nd ed., Prentice Hall, 1992 (available at the Central Library), - L.Kleinrock, Queueing Systems, Volume I: Theory, John Wiley & Sons, 1975 (available at the Central Library).

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