Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group learning activities on campus for the second half-year, while keeping an online version available for those students unable to return or those who choose to continue their studies online.
To check the availability of face to face activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer/Convener
Maurizio Manuguerra
Contact via Email
12 Wally's Walk 619
See iLearn page
Lecturer/Convener
Christopher Lustri
Contact via Email
12 Wally's Walk 714
See iLearn page
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
STAT1371 or STAT171
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
MATH1378
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Unit description |
Unit description
Professional statistical work is often a mixture of statistical modelling, programming and results' communication.
This unit addresses the methods and the tools required to perform this job introducing students to state-of-the-art programming languages used to solve Statistical problems and communicate Statistical results.
The unit is very practical, with classes and assessment mostly held in a computer lab.
Students who have completed this unit will be able to use appropriate software tools to solve complex statistical problems and to effectively communicate their results.
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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:
HURDLES: This unit has no hurdle requirements.
ASSIGNMENT SUBMISSION: Assignment submission will be online through the iLearn page.
Submit assignments online via the appropriate assignment link on the iLearn page. A personalised cover sheet is not required with online submissions. Read the submission statement carefully before accepting it as there are substantial penalties for making a false declaration.
You may submit as often as required prior to the due date/time. Please note that each submission will completely replace any previous submissions. It is in your interests to make frequent submissions of your partially completed work as insurance against technical or other problems near the submission deadline.
LATE SUBMISSION: All assignments must be submitted by the official due date and time. No marks will be given for late work unless an extension has been granted following a successful application for Special Consideration. Please contact one of the unit convenors for advice as soon as you become aware that you may have difficulty meeting any of the assignment deadlines. It is in your interests to make frequent submissions of your partially completed work. Note that later submissions completely replace any earlier submission, and so only the final submission made before the due date will be marked.
FINAL EXAM POLICY: There is no final exam for this unit.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Problem Set 1 | 15% | No | Week 4 |
Project 1 | 35% | No | Week 8 |
Problem Set 2 | 15% | No | Week 10 |
Project 2 | 35% | No | Week 13 |
Assessment Type 1: Problem set
Indicative Time on Task 2: 10 hours
Due: Week 4
Weighting: 15%
These problems will test the ability of students to use mathematical software to analyse provided problems, and express the results using mathematical typesetting.
Assessment Type 1: Project
Indicative Time on Task 2: 20 hours
Due: Week 8
Weighting: 35%
The students will be assigned a mathematical problem. They will be required to study this problem using appropriate computational techniques implemented in mathematical software. The students will be required to produce a written report and typeset it appropriately.
Assessment Type 1: Problem set
Indicative Time on Task 2: 10 hours
Due: Week 10
Weighting: 15%
These problems will test the ability of students to use statistical software to analyse provided problems, and express the results using mathematical typesetting.
Assessment Type 1: Project
Indicative Time on Task 2: 20 hours
Due: Week 13
Weighting: 35%
The students will be assigned a statistical problem. They will be required to study this problem using appropriate computational techniques implemented in statistical software. The students will be required to produce a written report and typeset it appropriately.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Each week will have one one-hour lecture covering the course material.
Each week will have one two-hour SGTA.
The unit material consists of notes and videos that will be distributed on iLearn.
This subject requires the use of the following computer software:
Students are invited to bring their own devices (BYOD). Acceptable platforms are Windows, Linux and Mac. For students choosing to participate in face-to-face activities, a laptop is recommended. If students do not have a suitable machine, they are invited to contact the teaching staff as soon as possible.
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:
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 published on platform other than eStudent, (eg. iLearn, Coursera etc.) 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 or if you are a Global MBA student contact globalmba.support@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 help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
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
If you are a Global MBA student contact globalmba.support@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.