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 2, - Taught on campus.
Lectures and practice classes.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 one-hour lectures (three per week) and up to 12 one-hour practice classes (1 per week) |
Total Time Commitment: 120 hours total time commitment.
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|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.|
CoordinatorDr Owen Dafydd Jones
This subject covers a range of important and generally applicable statistical methods.
Students should develop the ability to employ these methods to implement a range of practically useful statistical analyses. The following three topics will be covered:
Up to 50 pages of written assignments during the 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|
|Notes:||This subject is available for science credit to students enrolled in the BSc (pre-2008 degree only), BASc or a combined BSc course.|
Mathematics and Statistics (Financial Mathematics specialisation) |
Mathematics and Statistics (Statistics specialisation)
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