STATS 725 Applied Stochastic Modelling

Below description edited in year: 2008

Points: 15

Prereqs: 15 points from STATS 101 or 102 or 107 or 108 or 191; 15 points from STATS 125 or STATS 210; 15 points from STATS 220 or MATHS 162 or COMPSCI 101 or suitable computing experience.

Restrictions: OPSRES 385

Credit: Final exam = 65 or 90%; coursework 35 or 10%; 10% compulsory computer assignments; 25% optional coursework consisting of 1 test and assignments; 50% in final exam to pass.

Textbooks: Recommended Reading: Kleijnen, J. & van Groenendaal, W., Simulation: A Statistical Perspective (Wiley 1992)

For Advice: Ilze Ziedins (Email: i.ziedins@auckland.ac.nz | extn: 85051)

Taught: First Semester City

Website: STATS 725 website

STATS 721 is an extended version of STATS 320. It concentrates on stochastic methods used in operations research, biology etc. It covers the construction, analysis and simulation of stochastic models, as well as some optimization questions connected with these models. It is valuable for students interested in Business, Economics, Statistics, Mathematics, Computer Science and the Biological Sciences. STATS 721 will include more advanced material on simulation and optimization that STATS 320.

Topics studied include: The Poisson process, birth and death processes, queueing theory, simulation, random number generation, variance reduction, and optimization.

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2008), is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.