Course Weekly Lecture Plan

Week	Topic
1	Introduction. Use of networks.
2	Network models: Random networks, degree based networks.
3	Models of network formation.
4	Stochastic processes. Markov Models.
5	Little’s Rule. M/M/1 queueing system.
6	M/M/m, M/M/m/m systems. Multi-dimensional Markov chains.
7	Kleinrock Independence Approximation.
8	Networks of queues.
9	Review of the issues covered in the first eight weeks.
10	Discussion on Advanced Markovian Queueing Models.
11	Jackson’s Theorem. Some Applications
12	Network Flow Algorithms.
13	Paper discussion.
14	Paper discussion.