Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convenor
David Bulger
Contact via Email
12 Wally's Walk Office 5.30
Monday 12–2pm
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MRes
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit covers selected topics on modern statistical methods including statistical modelling, computational statistics, bio- and medical statistics, statistical models in finance, modelling dependence and point processes. These topics are hot research areas of statistics. The topics will be delivered by reading research papers, discussions and presentations. Students are also required to attend department research seminars. Each topic will be taught in two weeks and then assessed by the lecturer delivering the topic.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Name | Weighting | Hurdle | Due |
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Topic 1 | 15% | No | 9 March |
Topic 2 | 15% | No | 22 March |
Topic 3 | 15% | No | 5 April |
Topic 4 | 15% | No | 3 May |
Topic 5 | 15% | No | 17 May |
Topic 6 | 15% | No | 31 May |
Statistics department seminar | 10% | No | 7 June |
Due: 9 March
Weighting: 15%
Six different topics will be covered in STAT700. They are selected from areas of statistical research strength within the Department of Mathematics and Statistics, such as biostatistics, applied statistics, stochastic finance, time series analysis, bioinformatics, and image processing.
Each topic will be assessed by the lecturer of that topic. Each topic counts 15% towards the final assessment. Topic assessment is based on presentation (13%) and contribution to the discussion (2%). Three core criteria will be used to assess students’ work:
(1) Knowledge Development: Understanding of key ideas and concepts. (2) Application: Ability to apply statistical concepts to actual problems. (3) Presentation: The extent to which work has been written and/or presented in a manner consistent with accepted academic standards.
Performance in relation to each of these criteria will be assessed against established standards.
The only excuse for not participating in the presentation at the designated time is because of documented illness or unavoidable disruption. In these special circumstances you may apply for special consideration via ask.mq.edu.au.
Due: 22 March
Weighting: 15%
For assessment see Topic 1.
Due: 5 April
Weighting: 15%
For assessment see Topic 1.
Due: 3 May
Weighting: 15%
For assessment see Topic 1.
Due: 17 May
Weighting: 15%
For assessment see Topic 1.
Due: 31 May
Weighting: 15%
For assessment see Topic 1.
Due: 7 June
Weighting: 10%
Students are required to attend and compile a short report for at least 6 research seminars. These are not limited to those hosted by the Department of Mathematics and Statistics at Macquarie and can be those hosted by other departments at Macquarie or by other universities/professional organisations. The NSW branch of the Statistical Society Australia (SSA) hold a seminar most months and they are organised as a meetup group which you can subscribe to at https://www.meetup.com/en-AU/NSW-Branch-of-the-Statistics-Society-of-Australia.
Students should submit approximately 150–200 words of summary and/or comments to iLearn on the seminars they attended. The idea is to accumulate 6 reports by the end of Week 13 (midnight of 7 June). Each report you submit on time will be marked out of 2. This makes for a maximum possible total of 12; your total will be multiplied by 10/12 to give your seminar participation mark out of 10.
As these reports are supposed to be completed over a 13-week period, no extension will be granted. Student who have not submitted their reports 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.
Lectures
Lectures begin in Week 1. Students should attend one 3-hour session per week. Papers and reading materials for each topic will be made available via iLearn. Students should read these materials prior to the lectures.
Each topic will last for two weeks. In the first week, the lecturer will give a brief introduction to the materials covered in that topic and introduce students to the papers that will be discussed. Each student will be given three papers to read. However, each student will be required to present one paper in the class in the second week. Students are encouraged to participate in presentations, i.e. ask questions and involve in discussions.
Department research seminars
Students are also required to attend and participate in the research seminars of Statistics Department.
Technologies used and required
None
Please visit the unit's iLearn site for a weekly schedule of topics.
Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Undergraduate students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
If you are a Global MBA student contact globalmba.support@mq.edu.au
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
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