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2014 KMA305 Probability Models 3

Unit Level: Advanced

Available as a Student Elective: Yes

View timetable of lectures only for this unit.  View ALL timetable events for this unit.

SPECIAL NOTE: Offered in even numbered years only.

OFFERINGS

Unit Sem 1 Sem 2 Full Yr Spring Summer Winter
KMA305 H

Key Semester Dates
Semester Campus Attendance Note Start Date Census Date Final WW Date* End Date
Sem 1 H On Campus 24-FEB-2014 23-MAR-2014 14-APR-2014 30-MAY-2014

* 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.

This unit can be taken in other courses
About Census Dates

DESCRIPTION

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.

WEIGHT: 12.5%

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

REQUISITE INFO
Prereq Any second year unit in Mathematics

TEXTS
Hobart Co-op Bookshop Website - Semester (Sem 1)

STAFF: Dr M O'Reilly

FEES
View fees for this unit

KEY

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.

Special approval is required for enrolment into TNE Program units - campuses A, F, G, K, Q and Y click here for more information.



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