It is the responsibility of students to view their marks for each within session assessment on iLearn within 20 working days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment marks (not including the final exam mark) will not be addressed.

Special Consideration

Where a Special Consideration application is approved, the student may be offered an alternative assessment or may receive a mark based on the percentage mark achieved by the student in one or more other assessment tasks, at the Unit Convenor’s discretion.

Late Penalties

Tasks 10% or less – No extensions will be granted. Students who have not submitted the task prior to the deadline will be awarded a mark of 0 for the task, except for cases in which an application for special consideration is made and approved.

Tasks above 10% - No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved. No submission will be accepted after solutions have been posted.

Classes

•  This unit is taught through 2 hours of lectures and 2 hours of workshops/tutorials per week.

•  The timetable for classes can be found on the University web site at: http://www.timetables.mq.edu.au/

•  Workshops/tutorials start in Week 1.

Unit Web Page

•  The web page for this unit can be found at: http://ilearn.mq.edu.au

Technology Used and required

• You will need access to the internet to obtain course information and download teaching materials from the unit website.

• It is your responsibility to check the unit website regularly to make sure that you are upto-date with the information for the unit.

• The statistical package R will be extenstively employed in this unit. The application of R is essential to completing the Individual Assignment.

• Application of R will be introduced in the weekly workshop/tutorial.

• Students are expected to understand and properly use R outputs in the Mid-term test and Final exam.

Required and Recommended Texts and/or Materials

• Lecture Notes are the required materials and will be posted on the website before the lectures.

• The main additional reading materials are the ActEd CS2 notes. This will also be used as background reading for ACST8086.

Week 1: Probability models (revision); Survival analysis

Week 2: Estimation of survival distributions

Week 3: Variance estimation and confidence intervals

Week 4: Cox proportional hazards models

Week 5: Cox proportional hazards models; Stochastic processes;

Week 6: Markov chains

Week 7 (last week before semester break): Markov chains; Due of Individual Assignment

Week 8 (first week after semester break): Markov jump processes; Mid-term test

Week 9: Markov jump processes

Week 10: Applications of Markov processes

Week 11: Applications of Markov processes

Week 12: Competitive risks and multiple decrement tables

Week 13: Revision

Note: This is only a tentative schedule. The actual schedule will be adjusted from time to time in accordance with the progress of lectures.