Students
STAT823 – Statistical Graphics
2017 – S1 External
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor and Lecturer
Tania Prvan
Contact via (02) 9850-8561
E7A Level 6 Room to be advised
TBA
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|---|---|
| Credit points |
Credit points
4
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| Prerequisites |
Prerequisites
Admission to MAppStat or MSc or GradDipAppStat or MLabQAMgt or PGCertLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MBiotech or GradDipBiotech or MBioBus or MActPrac
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| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
STAT723
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| Unit description |
Unit description
We present the principles of effective graphical presentation, set them in a historical context and apply them to a variety of statistical data sets. Emphasis is given to use of modern multivariate graphical techniques such as trellis/lattice graphs and mosaic plots to show a variety of displays of data and model fits, and to display model consistency with data. To present graphics, we introduce and use R, as well as other standard packages. Participants choose an area for further investigation related to their interests. This unit is appropriate for study at any stage of the student's: as an introduction early in the program, or as an overview towards the end of the program.
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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 familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
- Be familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Be able to use the computer to generate appropriate graphics using particular packages or languages and be able to develop the ability to do so in others.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
- Be aware of the ethical aspects associated with the use of statistical graphics in society.
General Assessment Information
Late assessments will only be marked if a valid Disruption to Studies has been submitted.
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Portfolio | 25% | No | See description |
| Project Report | 25% | No | 2pm 5 June 2017 |
| Project Presentation | 15% | No | 8:30am 29 May 2017 |
| Take Home Examination | 35% | No | 2pm Sunday 11 June 2017 |
Portfolio
Due: See description
Weighting: 25%
An individual portfolio of five items relating to statistical graphics, each item using a maximum of two pages, on topics or questions presented in classes (and on the website). The portfolio items 1, 2 and 5 will be submitted first as a slide presentation with voice over by email to the unit convenor by 9am Monday of Week 2 (6 March), Week 4 (20 March) and Week 8 (1 May) respectively. Some suggested software to do this can be found from the following website: http://elearningindustry.com/top-10-free-camtasia-studio-alternatives, you may use other software. The presentations will not be marked but you will get practice at presenting and valuable feedback to improve your final submissions. Due date for PF 1 final submission is 17 March, PF 2 final submission is 31 March, PF 3 final submission is 14 April, PF 4 final submission is 28 April, and PF 5 final submission is 5 May. You will be asked to submit these in PDF format online via iLearn by 11:55pm on the aforementioned dates and they will be graded on a scale of 1-5 each.
There is no "group work" assessment in this unit. All work is to be the student's own. Students who have not submitted the portfolio item prior to the deadline will be awarded a mark of 0 for the portfolio item, except for cases in which an application for Disruption to Studies is made and approved.
On successful completion you will be able to:
- Be familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
- Be familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Be able to use the computer to generate appropriate graphics using particular packages or languages and be able to develop the ability to do so in others.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
- Be aware of the ethical aspects associated with the use of statistical graphics in society.
Project Report
Due: 2pm 5 June 2017
Weighting: 25%
A solo project in an area of interest that you select. A written report must be submitted (maximum length 3500 words). The written report must be submitted in pdf format online via iLearn by 2 pm on the due date. This can be done in Word or using freeware such as Cute PDF Writer. There is no "group work" assessment in this unit. All work is to be the student's own. Students who have not submitted the project prior to the deadline will be awarded a mark of 0 for the project, except for cases in which an application for Disruption to Studies is made and approved.
On successful completion you will be able to:
- Be familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
- Be familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Be able to use the computer to generate appropriate graphics using particular packages or languages and be able to develop the ability to do so in others.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
- Be aware of the ethical aspects associated with the use of statistical graphics in society.
Project Presentation
Due: 8:30am 29 May 2017
Weighting: 15%
Presentation of Project. Should be ten minutes long. Must be a slide presentation with voice over submitted by email to the unit convenor. Some suggested software to do this can be found from the following website: http://elearningindustry.com/top-10-free-camtasia-studio-alternatives, you may use other software.
On successful completion you will be able to:
- Be familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
- Be familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Be able to use the computer to generate appropriate graphics using particular packages or languages and be able to develop the ability to do so in others.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
- Be aware of the ethical aspects associated with the use of statistical graphics in society.
Take Home Examination
Due: 2pm Sunday 11 June 2017
Weighting: 35%
You will be given an individual take home examination at the end of Week 12 (available on the morning of Saturday 3 June). This will be in the form of a consulting problem requiring data analysis and preparation of a report including presentation graphics, requiring about 3-6 hours work. A word processed written report must be submitted in pdf format online via iLearn by 2 pm on the due date. This can be done in Word or using freeware such as Cute PDF Writer. There is no "group work" assessment in this unit. All work is to be the student's own. Students who have not submitted the written report prior to the deadline will be awarded a mark of 0 for the Take-home exam, except for cases in which an application for Disruption to Studies is made and approved.
If you notify the University of your disruption to studies for your final examination, you must make yourself available for the week of July 24 – 28, 2017. If you are not available at that time, there is no guarantee an additional examination time will be offered. Specific examination dates and times will be determined at a later date.
On successful completion you will be able to:
- Be familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
- Be familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Be able to use the computer to generate appropriate graphics using particular packages or languages and be able to develop the ability to do so in others.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
- Be aware of the ethical aspects associated with the use of statistical graphics in society.
Delivery and Resources
Lectures will be recorded with visual capture and put up on iLearn.
There is no specified textbook for this unit and a variety of readings will be made available on iLearn. The following books are good general references that will be used during the semester:
- Tufte, E. (2001). The Visual Display of Quantitative Information (second edition). Graphics Press: Cheshire Conn.
- Tufte, E. (1990). Envisioning Information. Graphics Press: Cheshire Conn.
- Tufte, E. (1997). Visual Explanations: images, and quantities, evidence and narrative (third edition). Graphics Press: Cheshire Conn.
- Cleveland, W. (1993). Visualizing Data. Hobart Press, New Jersey.
- Chen, C., Hardle, W. and Unwin, E. (eds.) (2008). Handbook of Data Visualization. [HDV] Springer-Verlag, Berlin.
With the relatively small number of students enrolled and the advanced (masters) level of this unit, we will be relying less on formal lectures and more on individual reading, preparation and learning to use the computer, and on collaborative investigation and discussion of problems. However, we may have a number of ‘guest lectures’ which will be presented live and be available in some electronic form afterwards. There will be weekly readings (usually electronic), weekly data investigations (using a computer package or language), weekly discussions (live or electronic) and regular opportunities to create and add materials to your portfolio.
Technologies used
The unit will make use of a range of packages, most importantly R, and the graphing packages Mondrian and GGobi.
Unit Schedule
Historical graphics (Week 1), Historical graphics conference (Week 2), Introduction to R for graphics (Week 3), Principle of graphics conference (Week 4), Trellis graphs (Week 5), Linear models and graphics (Week 6), Mosaic plots (Week 7), Mosaic plots conference and introduction to parallel coordinates (Week 8), Time and time-oriented data and more on linked graphics (Week 9), Visual data mining (Week 10), More on high dimensional graphics (Week 11), and Project Presentations (Week 12).
Policies and Procedures
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.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/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 familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
- Be able to use the computer to generate appropriate graphics using particular packages or languages and be able to develop the ability to do so in others.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
- Be aware of the ethical aspects associated with the use of statistical graphics in society.
Assessment tasks
- Portfolio
- Project Report
- Project Presentation
- Take Home Examination
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 familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
- Be familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
Assessment tasks
- Portfolio
- Project Report
- Project Presentation
- Take Home Examination
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 familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
Assessment tasks
- Portfolio
- Project Report
- Project Presentation
- Take Home Examination
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 familiar with a range of modern multivariate graphical techniques and know when it is appropriate to use them.
- Be able to use the computer to generate appropriate graphics using particular packages or languages and be able to develop the ability to do so in others.
Assessment tasks
- Portfolio
- Project Report
- Project Presentation
- Take Home Examination
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
- Use statistical graphics to investigate and analyse data, check statistical model assumptions and effectively present the results of statistical investigations to a range of audiences.
Assessment tasks
- Portfolio
- Project Report
- Project Presentation
- Take Home Examination
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 outcomes
- Be familiar with important and contemporary examples of graphics, and be able to use them as models in their own work.
- Be aware of the elements of graphical design, and use them to critically appraise presented graphics in articles and web pages and suggest appropriate ways of improving them.
Assessment tasks
- Portfolio
- Project Report
- Project Presentation
- Take Home Examination
Changes since First Published
| Date | Description |
|---|---|
| 02/02/2017 | The following paragraph has been added to the the Take Home Examination description: If you notify the University of your disruption to studies for your final examination, you must make yourself available for the week of July 24 – 28, 2017. If you are not available at that time, there is no guarantee an additional examination time will be offered. Specific examination dates and times will be determined at a later date. |