SPECIAL NOTE: Offered in even numbered years only.
Key Semester Dates
Final WW Date*
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see Withdrawal dates explained for more information).
Unit census dates currently displaying for 2014 are indicative and subject to change. Finalised census dates for 2014 will be available from the 1st October 2013.
The unit develops foundation skills for the, analysis of real-life systems with elements of uncertainty, useful for careers in the Physical and Biological Sciences, Operations Research, Engineering, Computer Science, Finance and Economics. The unit covers major topics from Probability Theory, with the focus on developing in-depth knowledge from both theoretical and modelling points of view.
Topics: Axiomatic probability theory: sample space, event, probabilities on events, independent events, Bayes' formula; Random variable, probability distribution, expectation, conditional probability; Distribution functions: discrete, continuous; joint distribution; probability generating function; Laplace transform. Stochastic Processes: Bernoulli process; Poisson process; discrete-time Markov Chains: Chapman-Kolmogorov equations, classification of states, recurrence, limiting probabilities; continuous-time Markov Chains: Kolmogorov differential equations, embedded chains, equilibrium distributions.
ASSESSMENT: 3hr exam (80%), assignments (20%)
TEACHING PATTERN: 3 x 1-hr lectures, 1 x 1-hr tutorial , 1 x 1-hr lab weekly
FLEXIBLE & ONLINE STUDY OPTIONS Note: Class attendance may still be required
Web supported - H Online access to some part of this unit online is optional
Resource supported teaching & learning - H Additional resources are provided for your optional use; e.g. audio taped lectures
Flexible scheduling - H Some classes will be held outside normal teaching hours; e.g. weekend blocks, summer schools etc
About Flexible Study Options
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Campus - H Hobart, L Launceston, W Burnie. Study Centre - V Sydney, R Rozelle, P Beauty Point. Distance units may also have a campus identifier of I Isolated, N Interstate, O Overseas. Units delivered in Transnational Education (TNE) Programs have a campus identifier of A Hangzhou, F Fuzhou, G Shanghai, K KDU Malaysia, Q Kuwait or Y Hong Kong.