Note: This is an archived Handbook entry from 2009. Search for this in the current handbook
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2009:Semester 1, - Taught on campus.
Lectures, practice classes and computer laboratory classes.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 one-hour lectures (three per week), 11 one-hour practice classes (one per week); and 11 one-hour computer laboratory classes (one per week) |
Total Time Commitment: 120 hours total time commitment
Calculus 2 with a grade of H2B or above, plus Linear Algebra;
plus Accelerated Mathematics 2 (620-158 Mathematics 2 prior to 2009);
plus one of
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||Students may only gain credit for one of Probability, Probability for Statistics, Statistics for Mechanical Engineers, 431-325.|
|Core Participation Requirements:||It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit.|
CoordinatorProf Konstantin Borovkov
This subject offers a thorough grounding in the basic concepts of mathematical probability and probabilistic modelling. Topics covered include random experiments and sample spaces, probability axioms and theorems, discrete and continuous random variables/distributions (including measures of location, spread and shape), expectations and generating functions, independence of random variables and measures of dependence (covariance and correlation), methods for deriving the distributions of transformations of random variables or approximations for them (including the central limit theorem).The probability distributions and models discussed in the subject arise frequently in real world applications. These include a number of widely used one- and two-dimensional (particularly the bivariate normal) distributions and also fundamental probability models such as Poisson processes and Markov chains.
After completing this subject students should:
Up to 50 pages of written assignments due during semester (20%); a 3-hour written examination in the examination period (80%).
|Breadth Options:|| |
This subject potentially can be taken as a breadth subject component for the following courses:
You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.
Students undertaking Actuarial Studies should take Probability instead of Probability for Statistics.
Students undertaking this subject will regularly use computers in weekly computer classes, with all the necessary software installed.
Students undertaking this subject are not assumed to have any special computer skills at the beginning.
Bachelor of Engineering (Computer Engineering)/Bachelor of Science |
Bachelor of Engineering (Electrical Engineering)/Bachelor of Science
Economics Major |
Mathematics && Statistics Major
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