Swinburne University of Technology - Melbourne Australia
Future Students - Courses
Duration
Contact Hours
Campus
Prerequisite
Corequisite
1 Semester or equivalent
48 Hours
Hawthorn
HET755 Introduction to Network Programming Some background in basic probability theory is expected (probability distributions, mean, variance, correlation), and an ability to program using a general purpose programming language.
Nil
Credit Points: 12.5 Credit Points
A unit of study in the Graduate Certificate of Science (Network Systems), Graduate Diploma of Science (Network Systems), and Master of Science (Network Systems).
Learning OutcomesStudents who successfully complete this unit will be able to develop simulation models for the purpose of understanding network behaviour.
Lectures (12 hrs), Tutorials (12 hrs) and Tutorial (Labs) (24 hrs)
Project/Assignment
Random number genetators Poisson, exponential and normal distribustions Stochastic and deterministic systems Queues Verification and validation of simulation models
The Network Simulator: ns-2, http://www.isi.edu/nsam/ns/ Nam: Network Animator, http://www.isi.edu/nsnam/nam/ Ripley, BD, Stochastic Simulation, John Wiley and Sons, 1987. Law, AM & Kelton, WD, Simulation Modelling and Analysis, McGraw Hill, 1991.Leon-Gracia, A, Probability and Random Processes for Electrical Engineering, 2nd edn, Addison-Wesley, 1994.