Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor/Lecturer
Dr. Jun Yao
Contact via Contact via Email
3MD 137
Monday 2:00pm - 3:00pm
|
---|---|
Credit points |
Credit points
10
|
Prerequisites |
Prerequisites
40cp at 2000 level or above including MKTG2002 or MKTG202
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
|
Unit description |
Unit description
Data is a key to marketing success. Effective use of data enables organisations to make better marketing decisions and effectively measure their marketing performance. In recent years, data-driven marketing has become increasingly important and prevalent in the business world due to the availability of a growing range of data and computing power. This unit develops students’ knowledge and skills in building and interpreting quantitative analytical models. Students learn to apply a range of marketing models and metrics to analyse marketing data that assists in assessing marketing performance and making optimal and competitive marketing decisions. Students gain knowledge on identifying marketing problems, analysing data, interpreting results and developing solutions for a range of marketing issues. |
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:
Late submissions of assessments Unless a Special Consideration request has been submitted and approved, no extensions will be granted. There will be a deduction of 10% of the total available assessment-task marks made from the total awarded mark for each 24-hour period or part thereof that the submission is late. Late submissions will only be accepted up to 96 hours after the due date and time.
No late submissions will be accepted for timed assessments – e.g., quizzes, online tests.
Table 1: Penalty calculation based on submission time
Submission time after the due date (including weekends) |
Penalty (% of available assessment task mark) |
Example: for a non-timed assessment task marked out of 30 |
< 24 hours |
10% |
10% x 30 marks = 3-mark deduction |
24-48 hours |
20% |
20% x 30 marks = 6-mark deduction |
48-72 hours |
30% |
30% x 30 marks = 9-mark deduction |
72-96 hours |
40% |
40% x 30 marks = 12-mark deduction |
> 96 hours |
100% |
Assignment won’t be accepted |
Special Consideration To request an extension on the due date/time for a timed or non-timed assessment task, you must submit a Special Consideration application. An application for Special Consideration does not guarantee approval.
The approved extension date for a student becomes the new due date for that student. The late submission penalties above then apply as of the new due date.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Quantitative Analysis 1 | 40% | No | Week 6, Saturday 11:59PM |
Quantitative Analysis 2 | 30% | No | Week 9, Saturday 11:59PM |
Modelling Task | 30% | No | Week 13, Friday 11:59PM |
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 20 hours
Due: Week 6, Saturday 11:59PM
Weighting: 40%
This is an individual assessment that involves analysing marketing data with appropriate metrics/models, interpreting output , developing managerial recommendations and reporting.
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 15 hours
Due: Week 9, Saturday 11:59PM
Weighting: 30%
This is an individual assessment that involves analysing marketing data with appropriate metrics/models, interpreting output , developing managerial recommendations and reporting.
Assessment Type 1: Modelling task
Indicative Time on Task 2: 15 hours
Due: Week 13, Friday 11:59PM
Weighting: 30%
This is an individual assessment that involves analysing marketing data and visualising the data using data visualisation platforms.
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
Prescribed text:
Recommended text:
It is normally expected that students attempt all assessment tasks for this unit. Students are required to accumulate at least 50% of the total marks possible in order to satisfactorily pass this unit.
Please refer to iLearn
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/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
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via AskMQ, or contact Service Connect.
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.
NA
Unit information based on version 2022.03 of the Handbook