Course content
Simulation topics from:
- Discrete-event computer simulation
- The SimPy simulation language
- Simulation model structures
- Simulation experiments and analysing simulation output
- The Poisson process, the Erlang, Coxian, and Phase-type distributions
- Little’s Law for queue models
- Steady-state solution and performance measures of M/M/1 queue
- Queues of different types: multi- and infinite-server, finite capacity
- Numerical solutions for steady-state Markovian queues
- M/G/1 queues: the Pollaczek-Khintchine formula
- Jackson-type queue networks
- Closed queue networks: the MVA method of solution
Course learning objectives
Students who pass this course should be able to:
Use an appropriate queue or queueing network to model a given service facility or congestion situation.
Build simulation models of practical networks and systems.
Design, analyse and validate simulation experiments.
Evaluate and optimise performance characteristics of queues and queueing networks.
Available offerings
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Required materials and equipment
Class representative
The class representative provides a useful way to communicate feedback to the teaching staff during the course. They also work with the VUWSA Education Office on any academic issues that arise in their course. Reps are elected by students by the third week of classes every trimester. Being a rep requires a weekly commitment.
The Use of Te Reo Māori for Assessment Policy
Te Herenga Waka—Victoria University of Wellington values te reo Māori. Students who wish to submit any of their assessments in te reo Māori must refer to The Use of Te Reo Māori for Assessment Policy - PDF 134kb
He mea nui te reo Māori ki Te Herenga Waka. Ki te pīrangi koe ki te tuhituhi i ō aro matawai i roto i te reo Māori, tēnā me mātua whakapā atu ki te kaupapa here, The Use of Te Reo Māori for Assessment Policy - PDF 134kb
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Important information
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