Unit convenor and teaching staff |
Unit convenor and teaching staff
Ayse Bilgin
Contact via E-mail
E4A 528
|
---|---|
Credit points |
Credit points
3
|
Prerequisites |
Prerequisites
39cp including (STAT270(P) or STAT271(P) or BIOL235(P) or PSY222(P) or PSY248(P))
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
|
Unit description |
Unit description
This unit is concerned with the structure of multivariate data which is explored graphically, analysed statistically and investigated using data mining methods. Multivariate methods covered include cluster analysis, principal components, and discriminant analysis. Knowledge of simple matrix algebra, although not essential, will be very helpful in understanding and working through these topics. Statistical packages are used extensively to illustrate the concepts in lectures and tutorials.
|
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 | Due |
---|---|---|
Participation | 5% | Weekly |
Presentation | 5% | Weekly |
Assignments (x2) | 30% | Week 5 & Week 11 |
Final Examination | 60% | Exam Timetable |
Due: Weekly
Weighting: 5%
*Weeks 2 – 12 inclusive.
Every week lecture and tutorial participation will be monitored and most weeks there will be set homework to submit to the lecturer at the start of the following lecture.
Due: Weekly
Weighting: 5%
Each student will be given an opportunity to present to class either in the Lecture or in the Tutorial. The presentations will start on Week 2 until each student presents at least once.
Each week there will be three student presentations. Students are encouraged to volunteer for these presentations so that a timetable could be created, in the case of no one volunteering a random selection will be used. The three presentations will in the form of no more than two power point slides. The specifics of the presentations are:
1. Summary of the previous week's lecture (at the beginning of the lecture)
2. The most important aspects of the previous week's lecture and/or tutorial (at the beginning of the tutorial)
3. The most important aspects of the current week's lecture and/or tutorial (at the end of the tutorial)
Due: Week 5 & Week 11
Weighting: 30%
There will be two individual assignments due in weeks 5 and 11. The assignment questions will be made available through iLearn.
There is no “group work” assessment in this unit, however students are encouraged to work together and help each other to learn.
Due: Exam Timetable
Weighting: 60%
The examination will examine any material covered throughout the course. Students may bring one A4 sized sheet of hand written notes, formulae, etc., which may be written on both sides and is easily readable. This summary must be submitted with your exam paper and is marked. No other materials such as lecture notes and textbooks are permitted.
Calculators will be needed but must not be of the text/programmable type.
Lectures begin in Week 1.
Tutorials begin in Week 2.
The timetable for classes can be found on the University web site at: http://www.timetables.mq.edu.au/
There are no required texts for this unit, but the following list provides useful references, which are available in the Library.
Weeks 1-6 Material
Chambers J M et al (1983) Graphical Methods for Data Analysis. (QA276.3 .G73/1983)
Cleveland W S (1994) Elements of Graphing Data. (QA90 .C54/1994)
Cleveland W S & McGill M E (1988) Dynamic Graphics for Statistics. (QA276.3.D96/1988)
Du Toit S H C et al (1986) Graphical Exploratory Data Analysis. (QA276.3 .D778/1986)
Ehrenberg A S C (1982)Primer in Data Reduction. (QA276.12 .E37/1982)
Tufte E R (2001) The Visual Display of Quantitative Information. (QA276.3 T8 2001)
Weeks 7-13 Material
Everitt B S et al (2001) Applied multivariate data analysis. (QA278 .E914/2001)
Johnson, D.E (1998) Applied Multivariate Methods for Data Analysts. (QA278.J615/1998)
Johnson, R.A. & Wichern, D.W. (2002) Applied Multivariate Statistical Analysis.(QA278 .J63/2002)
Manly, B F J (2004) Multivariate Statistical Methods - A Primer. (QA278 .M35 2004)
iLearn
There is an iLearn site for this subject that will contain all the required course materials and allows communication between students. You can access the unit iLearn site from the address http://learn.mq.edu.au using your Student ID number and myMQ Portal password. You can only access the material if you are enrolled in the unit. If you have any problems accessing this website, go to the Online Teaching Facility support web page at http://online.mq.edu.au/docs/tecinf.html
The lecturer will make announcements via the iLearn. You should regularly log in and read the posts at least twice a week.
The Discussion Board on iLearn can be used to communicate with other students.
Software
The main software packages will be used are IBM SPSS Analytics, IBM SPSS Modeler, R (a dialect of S-Plus which is open source, it is available from http://cran.r-project.org/), Mondrian (open source, available from http://rosuda.org/mondrian/Mondrian.html), Excel & Microsoft Word.
Students are expected to
Week |
Topic |
1 |
Introduction & presenting data numerically |
2 |
Good and bad graphical displays |
3 |
Choosing different graphic displays |
4 |
Displaying multivariate data |
5 |
Similarities and distances |
6 |
Hierarchical cluster analysis |
7 |
K-means clustering |
Mid-semester break - two weeks |
|
8 |
Eigenvalues and eigenvectors |
9 |
Principal component analysis |
10 |
Discriminant analysis |
11 |
Multiple discriminant analysis |
12 |
Classification and regression trees |
13 |
Review |
The order of the lectures might change. |
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.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
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/
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://informatics.mq.edu.au/help/.
When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.
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:
Our graduates will have enquiring minds and a literate curiosity which will lead them to pursue knowledge for its own sake. They will continue to pursue learning in their careers and as they participate in the world. They will be capable of reflecting on their experiences and relationships with others and the environment, learning from them, and growing - personally, professionally and socially.
This graduate capability is supported by:
Our graduates will take with them the intellectual development, depth and breadth of knowledge, scholarly understanding, and specific subject content in their chosen fields to make them competent and confident in their subject or profession. They will be able to demonstrate, where relevant, professional technical competence and meet professional standards. They will be able to articulate the structure of knowledge of their discipline, be able to adapt discipline-specific knowledge to novel situations, and be able to contribute from their discipline to inter-disciplinary solutions to problems.
This graduate capability is supported by:
We want our graduates to be capable of reasoning, questioning and analysing, and to integrate and synthesise learning and knowledge from a range of sources and environments; to be able to critique constraints, assumptions and limitations; to be able to think independently and systemically in relation to scholarly activity, in the workplace, and in the world. We want them to have a level of scientific and information technology literacy.
This graduate capability is supported by:
Our graduates should be capable of researching; of analysing, and interpreting and assessing data and information in various forms; of drawing connections across fields of knowledge; and they should be able to relate their knowledge to complex situations at work or in the world, in order to diagnose and solve problems. We want them to have the confidence to take the initiative in doing so, within an awareness of their own limitations.
This graduate capability is supported by:
Our graduates will also be capable of creative thinking and of creating knowledge. They will be imaginative and open to experience and capable of innovation at work and in the community. We want them to be engaged in applying their critical, creative thinking.
This graduate capability is supported by:
We want to develop in our students the ability to communicate and convey their views in forms effective with different audiences. We want our graduates to take with them the capability to read, listen, question, gather and evaluate information resources in a variety of formats, assess, write clearly, speak effectively, and to use visual communication and communication technologies as appropriate.
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:
We want our graduates to be aware of and have respect for self and others; to be able to work with others as a leader and a team player; to have a sense of connectedness with others and country; and to have a sense of mutual obligation. Our graduates should be informed and active participants in moving society towards sustainability.
This graduate capability is supported by:
All unit related queries should be directed to the unit convenor Dr Nino Kordzakhia using the Macquarie University e-mail system.
Lectures begin in Week 1.
Tutorials (1 x 2 hour tutorial) will start in the second week. In weeks 2 to 13 you will be required to submit homework and this work will also count towards your assessment.
The timetable for classes can be found on the University web site at https://timetables.mq.edu.au/2013/
Students are expected to: