Students
STAT7900 – Research Frontiers in Statistics
2021 – Session 1, Special circumstances
Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group activities on campus, and most will keep an online version available to those students unable to return or those who choose to continue their studies online.
To check the availability of face-to-face and online activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor/Lecturer
Nan Zou
12WW 706
Lecturer
Houying Zhu
12WW 705
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
Admission to MRes
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit covers selected topics in 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. |
Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
- ULO1: demonstrate a broad view on some cutting edge research activities in statistics
- ULO2: synthesise information from a variety of sources as supporting evidence and discuss them
- ULO3: communicate credible information in oral, written, graphic or visual forms.
- ULO4: summarise key messages from research seminars
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Presentation for Topic 1 | 15% | No | Week 2 |
| Presentation for Topic 4 | 15% | No | Week 8 |
| Presentation for Topic 2 | 15% | No | Week 4 |
| Presentation for Topic 3 | 15% | No | Week 6 |
| Presentation for Topic 5 | 15% | No | Week 10 |
| Presentation for Topic 6 | 15% | No | Week 12 |
| Short Report on Statistics Seminars | 10% | No | Week 13 |
Presentation for Topic 1
Assessment Type 1: Presentation
Indicative Time on Task 2: 9 hours
Due: Week 2
Weighting: 15%
Six different advanced topics will be covered in this unit. They are selected from areas of statistical research strength within the Department of Mathematics and Statistics. Each student will present for at least 15 minutes on the topic plus 5 minutes of question time on one of the papers the teaching staff provided and they will be assessed by the teaching staff of that topic. Two core criteria will be used to assess students’ work: (1) Understanding of key ideas and concepts. (2) The extent to which work has been written and/or presented in a manner consistent with accepted academic standards.
On successful completion you will be able to:
- demonstrate a broad view on some cutting edge research activities in statistics
- synthesise information from a variety of sources as supporting evidence and discuss them
- communicate credible information in oral, written, graphic or visual forms.
Presentation for Topic 4
Assessment Type 1: Presentation
Indicative Time on Task 2: 9 hours
Due: Week 8
Weighting: 15%
For assessment see Presentation for Topic 1
On successful completion you will be able to:
- demonstrate a broad view on some cutting edge research activities in statistics
- synthesise information from a variety of sources as supporting evidence and discuss them
- communicate credible information in oral, written, graphic or visual forms.
Presentation for Topic 2
Assessment Type 1: Presentation
Indicative Time on Task 2: 9 hours
Due: Week 4
Weighting: 15%
For assessment see Presentation for Topic 1.
On successful completion you will be able to:
- demonstrate a broad view on some cutting edge research activities in statistics
- synthesise information from a variety of sources as supporting evidence and discuss them
- communicate credible information in oral, written, graphic or visual forms.
Presentation for Topic 3
Assessment Type 1: Presentation
Indicative Time on Task 2: 9 hours
Due: Week 6
Weighting: 15%
For assessment see Presentation for Topic 1.
On successful completion you will be able to:
- demonstrate a broad view on some cutting edge research activities in statistics
- synthesise information from a variety of sources as supporting evidence and discuss them
- communicate credible information in oral, written, graphic or visual forms.
Presentation for Topic 5
Assessment Type 1: Presentation
Indicative Time on Task 2: 9 hours
Due: Week 10
Weighting: 15%
For assessment see Presentation for Topic 1
On successful completion you will be able to:
- demonstrate a broad view on some cutting edge research activities in statistics
- synthesise information from a variety of sources as supporting evidence and discuss them
- communicate credible information in oral, written, graphic or visual forms.
Presentation for Topic 6
Assessment Type 1: Presentation
Indicative Time on Task 2: 9 hours
Due: Week 12
Weighting: 15%
For assessment see Presentation for Topic 1
On successful completion you will be able to:
- demonstrate a broad view on some cutting edge research activities in statistics
- synthesise information from a variety of sources as supporting evidence and discuss them
- communicate credible information in oral, written, graphic or visual forms.
Short Report on Statistics Seminars
Assessment Type 1: Participatory task
Indicative Time on Task 2: 12 hours
Due: Week 13
Weighting: 10%
Students are required to attend and compile a short report for at least 6 statistics 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.
On successful completion you will be able to:
- summarise key messages from research seminars
1 If you need help with your assignment, please contact:
- the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
- the Writing Centre for academic skills support.
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Delivery and Resources
Topic 1: Monte-Carlo Method
Topic 2: Bayesian Statistics
Topic 3: Biostatistics
Topic 4: Bootstrap Method
Topic 5: Time Series Statistics
Topic 6: Extreme Value Theory
Policies and Procedures
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
- Academic Appeals Policy
- Academic Integrity Policy
- Academic Progression Policy
- Assessment Policy
- Fitness to Practice Procedure
- Grade Appeal Policy
- Complaint Management Procedure for Students and Members of the Public
- Special Consideration Policy
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results
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
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
Student Services and Support
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
Student Enquiries
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
IT Help
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.
Unit information based on version 2021.02 of the Handbook