Handbook 1996 : Faculty of Engineering (Volume 4 page 109)
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Credit points: 7.1
Coordinator: To be advised
Contact: 26 hours of lectures and 13 hours of tutorials
Timetable: First semester
Objectives:
Students completing this course should:Comprehend:
- the fundamental concepts of probability and probability modelling
Have developed the skills:
- to use simple probability models in applications to standard situations
Appreciate:
- the breadth of application and usefulness of probability modelling
- the application of computer software in simulation and probability calculations
Content:
Basic probability theory. Simple probability models (including Bernoulli trials, Poisson processes, sampling models); random variables and descriptions of their probability distributions; simple distribution theory, including binomial, Poisson and normal distributions. Simulations of probability models. Bivariate random variables and the bivariate normal distribution. Covariances and correlation coefficients. The central limit theorem and something of its rationale. Extensions to multivariate distributions. The simpler stochastic processes and markov chains.
Assessment:
Assignments - up to a maximum of 50 pages (20%); Examination (3 hours-80%).
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Handbook 1996 : Faculty of Engineering (Volume 4 page 109)
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Statistics, Faculty of Science.
Copyright © University of Melbourne 1995,1996.