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MATH260 Probability and Simulation

Updated: 09 March 2010
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study Online Level
Armidale Semester 1 Off Campus C - Internet access required
Armidale Semester 1 On Campus C - Internet access required
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites MATH101 or MATH101A and MATH102 or MATH102A or candidature in a postgraduate award in the School of Environmental and Rural Science or School of Science and Technology
Co-requisites None
Restrictions STAT260
Notes

off-campus students must have access to the statistical package R
Combined Units None
Coordinator(s) Jacqueline Reid (jreid3@une.edu.au)
Unit Description

The topics covered are: random variables, expected values, bivariate distributions, normal distribution, sums of random variables, and gamma and beta distributions. Two lectures, a one-hour tutorial, and a one-hour laboratory session per week.

Prescribed Material
Mandatory 		Shrink Wrapped Package(s):

Note: Students are expected to purchase prescribed material

Probability and Statistics and Student Solutions Manual
ISBN: 9780923304003
DeGroot, M.H. and Schervish, M.J., Addison Wesley 3rd ed. 2002
Note: Package includes: Probability and Statistics, 3rd ed. (ISBN 9780201524888) and Student Solutions Manual, 3rd ed. (ISBN 9780201711295).
Text refers to: Semester 1 , On and Off Campus
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Title Exam Length Weight Mode No. Words
Assignment 1 13%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2 GA: 1, 2, 3, 4, 6
Assignment 2 13%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2 GA: 1, 2, 3, 4, 6
Assignment 3 14%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2 GA: 1, 2, 3, 4, 6
Final Examination 2 hrs 60%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2 GA: 1, 6

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. use probability to infer outcomes from processes with random events;
  2. use simulation to do calculations where the analytical methods are intractable.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
Knowledge of the discipline is imparted by lecture, on-line material and by notes, and it is assessed by practical computer workshops, tutorials, as well as by written assignments and written examination. 		True True True
2 Communication Skills
Communication skills are addressed primarily in the tutorial but are assessed in the quality of written work, where typeset assignment solutions are required. These skills are also tested in the computer practical sessions. 		True True True
3 Global Perspectives
The historical and modern development of statistical theory is mainly addressed in the lecture stream of this unit. 		True
4 Information Literacy
All students doing this unit are required to submit assignment solutions using a mathematical typesetting package. 		True True True
5 Life-Long Learning
The content of this unit will need to be revisited by all students who wish to pursue a career in statistics or its application. 		True
6 Problem Solving
As this is essentially the reason for statistics being a discipline, problem solving is not only covered in lectures, but forms the basis of tutorials, practical and assignment activities. 		True True True
   

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