Elements of Probability
Subject MAST90057 (2013)
Note: This is an archived Handbook entry from 2013.
Credit Points:  12.50 

Level:  9 (Graduate/Postgraduate) 
Dates & Locations:  This subject is not offered in 2013. 
Time Commitment:  Contact Hours: 36 hours: Three x 1hour lectures per week, one x 1hour practice classes per week, and one x 1hour computer laboratory classes per week. Total Time Commitment: 120 hours 
Prerequisites:  The following, or equivalent. Subject Study Period Commencement: Credit Points: 
Corequisites:  None 
Recommended Background Knowledge:  None 
Non Allowed Subjects:  Students who have previously taken second year level subjects in Probability or Probability for Statistics or their equivalents may not gain credit for 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. 
Subject Overview:  Randomness is inherent in biological data and the analysis of data arising in both Bioinformatics and Biostatistics requires knowledge of sophisticated probability models and statistical techniques. This subject develops the underlying probability theory that is necessary to understand these models and techniques. Computer packages are used for numerical and theoretical calculations but no programming skills are required. Elements of Probability will be cotaught with MAST20006 Probability for Statistics. 

Objectives: 
At the completion of the subject, students are expected to:

Assessment:  50 pages of written assignments due during the semester (20%); a 45minute computer laboratory test held during the semester (10%); a 3hour 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 
Generic Skills: 
These include:

Related Course(s): 
Master of Philosophy  Engineering Master of Science (Bioinformatics) Ph.D. Engineering 
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