Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Nino Kordzakhia
Contact via nino.kordzakhia@mq.edu.au
Room 610 L6 E7A 12 Wally's Walk
11:00 - 13:00 Tue
Instructor
Balamehala Pasupathy
Contact via balamehala.pasupathy@mq.edu.au
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
6cp at 200 level including (STAT270 or STAT271 or BIOL235(P) or PSY222 or PSY248(P))
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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 introduces statistical tools for multivariate data analysis such as statistical graphics, discriminant analysis, principal component analysis, cluster analysis and an introduction to data mining, especially classification. Statistical packages are used extensively to illustrate the concepts in lectures and tutorials. Students are given opportunities to share their learning with their peers in tutorials, by presenting to their peers such as solutions to a problem posed in an earlier class, or summary of a specific weeks’ learning in one or two slides, similar to 3 minute thesis presentations.
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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 |
---|---|---|---|
Participation and Homeworks | 15% | No | Weeks 3, 7 and 11 |
Test | 15% | No | Week 9 (during the lecture) |
Practical Test | 10% | No | Week 13 tutorial |
Final Examination | 60% | No | University exam timetable |
Due: Weeks 3, 7 and 11
Weighting: 15%
Every week tutorial participation will be monitored and there will be a set of questions to submit at the end of Week 3, 7 and 11.
Homework due in Week 3, 7 and 11 (15%)
There will be a penalty for a homework late submission, 10% will be deducted for each day passed after the deadline (e.g. if a homework is worth 10 marks, when it is submitted 5 days late the homework would be marked out of 5 marks).
No homework submission can be made 5 days after the deadline.
Due: Week 9 (during the lecture)
Weighting: 15%
The Test will be held during the lecture and would be 45 minutes long. This is closed book test.
You are permitted ONE A4 page of paper containing reference material printed or handwritten on both sides. Calculators will be needed but must not be of the text/programmable type.
In case you are not available to sit the Test due to unavoidable circumstances you will need to consult Disruption to Studies Policy
Due: Week 13 tutorial
Weighting: 10%
The practical test, using pcs, will be held in the tutorial in Week 13 and covers the first 12 weeks of material in the unit. Permitted materials are the lecture notes and other teaching material, which were distributed via iLearn.
In case you are not available to sit the Practical Test due to unavoidable circumstances you will need to consult Disruption to Studies Policy
Due: University exam timetable
Weighting: 60%
A three-hour long final examination will be held during the University Examination period.
You are permitted ONE A4 page of paper containing reference material printed or handwritten on both sides. The page will not be returned at the end of the final examination. Calculators will be needed but must not be of the text/programmable type.
You must present yourself for examination at the time and place designated in the University Examination Timetable.
The timetable will be available in Draft form approximately eight weeks before the commencement of the examinations and in Final form approximately four weeks before the commencement of the examinations at
https://students.mq.edu.au/study/exams-and-results/exam-timetables
The only exception to not sitting an examination at the designated time is because of documented illness or unavoidable disruption. In these circumstances you may wish to consult Disruption to Studies Policy
http://mq.edu.au/policy/docs/disruption_studies/policy.html
Important:
If you lodge the Disruption to Studies application for your final examination, you must make yourself available for the week of December 11 – 15.
The Macquarie university examination policy details, the principles and conduct of examinations at the University can be viewed at
http://www.mq.edu.au/policy/docs/examination/policy.htm
Classes
Lectures begin in Week 1.
Tutorials begin in Week 2.
Students must attend 2 hours of lectures and 2 hours of tutorial per week.
Lecture notes will be posted on iLearn site of the unit before the lecture.
Students should make sure they login at
https://ilearn.mq.edu.au/login/MQ/
regularly to access the teaching material.
Software:
SPSS, SPSS Modeler
There are no prescribed texts for this unit, but the following list provides useful references.
Recommended texts:
Chambers J M et al (1983) Graphical Methods for Data Analysis.
Cleveland W S (1994) Elements of Graphing Data.
Tufte E R (2001) The Visual Display of Quantitative Information.
Everitt B S et al (2001) Applied multivariate data analysis.
Johnson, R.A. & Wichern, D.W. (2002) Applied Multivariate Statistical Analysis.
Manly, B F J (2004) Multivariate Statistical Methods - A Primer.
WEEK |
TOPICS |
WORK DUE |
1 |
Introduction & presenting data numerically |
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2 |
Different graphical displays |
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3 |
Displaying multivariate data |
Homework |
4 |
Similarities and distances |
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5 |
Hierarchical cluster analysis |
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6 |
K-means clustering |
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7 |
Eigenvalues and eigenvectors |
Homework |
Midsession Break – Two Weeks
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8 |
Principal component analysis |
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9 |
Principal component analysis cont. |
Class test |
10 |
Discriminant analysis |
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11 |
Multiple discriminant analysis |
Homework |
12 |
Classification and regression trees |
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13 |
Review |
Practical Test |
Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:
Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy_2016.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Complaint Management Procedure for Students and Members of the Public http://www.mq.edu.au/policy/docs/complaint_management/procedure.html
Disruption to Studies Policy (in effect until Dec 4th, 2017): http://www.mq.edu.au/policy/docs/disruption_studies/policy.html
Special Consideration Policy (in effect from Dec 4th, 2017): https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policies/special-consideration
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/
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.
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
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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This graduate capability is supported by:
We want our graduates to have emotional intelligence and sound interpersonal skills and to demonstrate discernment and common sense in their professional and personal judgement. They will exercise initiative as needed. They will be capable of risk assessment, and be able to handle ambiguity and complexity, enabling them to be adaptable in diverse and changing environments.
This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
As local citizens our graduates will be aware of indigenous perspectives and of the nation's historical context. They will be engaged with the challenges of contemporary society and with knowledge and ideas. We want our graduates to have respect for diversity, to be open-minded, sensitive to others and inclusive, and to be open to other cultures and perspectives: they should have a level of cultural literacy. Our graduates should be aware of disadvantage and social justice, and be willing to participate to help create a wiser and better society.
This graduate capability is supported by:
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This graduate capability is supported by:
Students are expected to:
Date | Description |
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25/07/2017 | N/A |