Students
STAT700 – Research Frontiers in Statistics
2018 – S1 Day
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convenor
Thomas Fung
Contact via thomas.fung@mq.edu.au
12 Wally's Walk (E7A) Office 6.26
Thursday 2 - 4 pm
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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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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:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Topic 1 | 15% | No | 9 March |
| Topic 2 | 15% | No | 23 March |
| Topic 3 | 15% | No | 13 April |
| Topic 4 | 15% | No | 11 May |
| Topic 5 | 15% | No | 25 May |
| Topic 6 | 15% | No | 8 June |
| Statistics department seminar | 10% | No | 8 June |
Topic 1
Due: 9 March
Weighting: 15%
Six different topics will be covered in STAT700 and they are selected from areas of research strengths within the Department of 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 weights 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.
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Topic 2
Due: 23 March
Weighting: 15%
For assessment see Topic 1
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Topic 3
Due: 13 April
Weighting: 15%
For assessment see Topic 1.
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Topic 4
Due: 11 May
Weighting: 15%
For assessment see Topic 1.
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Topic 5
Due: 25 May
Weighting: 15%
For assessment see Topic 1.
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Topic 6
Due: 8 June
Weighting: 15%
For assessment see Topic 1.
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Statistics department seminar
Due: 8 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 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 summary and/or comments to iLearn of the seminars they attended. The idea is to accumulate 6 reports by the end of Week 13 (midnight of 8 June). For each report you submit on time, it will be mark out of 2. This marks for a maximum possible total of 12; your total will be multiplied by 10/12 to give your tutorial mark out of 10.
As these reports are supposed to be completed over 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.
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to summarise and present results from research papers
Delivery and Resources
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
Unit Schedule
Please visit the unit's iLearn site for a weekly schedule of topics.
Policies and Procedures
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:
- 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 (Note: The Special Consideration Policy is effective from 4 December 2017 and replaces the Disruption to Studies Policy.)
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).
Student Code of Conduct
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
Results shown in iLearn, 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.
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 improve your marks and take control of your study.
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
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.
Graduate Capabilities
PG - Capable of Professional and Personal Judgment and Initiative
Our postgraduates will demonstrate a high standard of discernment and common sense in their professional and personal judgment. They will have the ability to make informed choices and decisions that reflect both the nature of their professional work and their personal perspectives.
This graduate capability is supported by:
Learning outcomes
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
Assessment tasks
- Topic 1
- Topic 2
- Topic 3
- Topic 4
- Topic 5
- Topic 6
- Statistics department seminar
PG - Discipline Knowledge and Skills
Our postgraduates will be able to demonstrate a significantly enhanced depth and breadth of knowledge, scholarly understanding, and specific subject content knowledge in their chosen fields.
This graduate capability is supported by:
Learning outcomes
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Assessment tasks
- Topic 1
- Topic 2
- Topic 3
- Topic 4
- Topic 5
- Topic 6
- Statistics department seminar
PG - Critical, Analytical and Integrative Thinking
Our postgraduates will be capable of utilising and reflecting on prior knowledge and experience, of applying higher level critical thinking skills, and of integrating and synthesising learning and knowledge from a range of sources and environments. A characteristic of this form of thinking is the generation of new, professionally oriented knowledge through personal or group-based critique of practice and theory.
This graduate capability is supported by:
Learning outcomes
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to summarise and present results from research papers
Assessment tasks
- Topic 1
- Topic 2
- Topic 3
- Topic 4
- Topic 5
- Topic 6
- Statistics department seminar
PG - Research and Problem Solving Capability
Our postgraduates will be capable of systematic enquiry; able to use research skills to create new knowledge that can be applied to real world issues, or contribute to a field of study or practice to enhance society. They will be capable of creative questioning, problem finding and problem solving.
This graduate capability is supported by:
Learning outcomes
- Be able to utilise google or other search engines to look for research papers
- Be able to summarise and present results from research papers
Assessment tasks
- Topic 1
- Topic 2
- Topic 3
- Topic 4
- Topic 5
- Topic 6
- Statistics department seminar
PG - Effective Communication
Our postgraduates will be able to communicate effectively and convey their views to different social, cultural, and professional audiences. They will be able to use a variety of technologically supported media to communicate with empathy using a range of written, spoken or visual formats.
This graduate capability is supported by:
Learning outcome
- Be able to summarise and present results from research papers
Assessment tasks
- Topic 1
- Topic 2
- Topic 3
- Topic 4
- Topic 5
- Topic 6
- Statistics department seminar
PG - Engaged and Responsible, Active and Ethical Citizens
Our postgraduates will be ethically aware and capable of confident transformative action in relation to their professional responsibilities and the wider community. They will have a sense of connectedness with others and country and have a sense of mutual obligation. They will be able to appreciate the impact of their professional roles for social justice and inclusion related to national and global issues
This graduate capability is supported by:
Learning outcome
- Be able to obtain a broad view of some research activities in various fields of statistics
Assessment tasks
- Topic 1
- Topic 2
- Topic 3
- Topic 4
- Topic 5
- Topic 6
- Statistics department seminar
Changes from Previous Offering
The condition on how to access participation in Statistics department seminar has changed.