Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: 36 hours: Three 1-hour lectures per week, one 1-hour tutorials per week, and one 1-hour computer laboratory classes per week. |
Total Time Commitment:
One of the following, or equivalent:
Study Period Commencement:
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
Students who have taken second year level subjects in Statistics or its equivalent may not take this subject.
|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.
The analysis of data arising in Bioinformatics and Biostatistics requires the use of sophisticated statistical techniques and computing packages. This subject introduces the theory underlying modern statistical inference and statistical computation. Both classical and Bayesian statistical methods are developed and many standard statistical methods are included as applications of a common theory. This subject is co-taught with MAST20005 Statistics.
30 pages of written assignments due during the semester (20%); a 45-minute computer laboratory test held mid-semester (10%); a 3-hour written examination in the examination period (70%).
|Prescribed Texts:|| |
Hogg and Tanis, Probability and Statistical Inference. Eighth Edition, Prentice Hall, 2009.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Doctor of Philosophy - Business and Economics |
Master of Commerce (Finance)
Master of Philosophy - Engineering
Master of Science (Bioinformatics)
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