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
TBA
Georgy Sofronov
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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 |
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Participation and Homeworks | 20% | No | Weeks 3, 7 and 11 |
Test | 30% | No | Week 9 |
Practical Test | 50% | No | Week 13 |
Due: Weeks 3, 7 and 11
Weighting: 20%
Every week tutorial participation will be monitored and is worth 5%.
There will be a set of questions to submit at the end of Week 3, 7 and 11 worth 5% each. Homeworks due in Week 3, 7 and 11 worth 15% in total.
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
Weighting: 30%
The test will be held during the lecture and would be 50 minutes long. This is a closed book exam.
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.
If you cannot sit the test due to unavoidable circumstances you will need to apply for special consideration
Due: Week 13
Weighting: 50%
The practical test, using pcs, will be held during the lecture time in Week 13 and covers the first 12 weeks of material in the unit. Permitted materials include the lecture notes and other teaching material, which were distributed via iLearn. Other conditions of the practical test will be specified in the test notification issued closer to the date via iLearn.
Results of Practical Test are subject to the final grade approval by the University and they will NOT be released until after the final grade approval.
If you cannot sit the practical test due to unavoidable circumstances you will need to apply for special consideration
Important
If you receive special consideration for the practical test, a supplementary exam will be scheduled in the supplementary exam period of 17th December to 21st December, 2018. By making a special consideration application for the practical test you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. You will receive an individual notification one week prior to the supplementary exam with the exact date and time of the supplementary exam.
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
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. |
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 (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 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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