Unit convenor and teaching staff |
Unit convenor and teaching staff
Poon Leung
Deanna Tracy
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
(STAT150 or STAT1250 or STAT170 or STAT1170 or STAT171 or STAT1371) and (COMP115 or COMP1000 or ISYS114 or COMP1350)
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
Growing quantities of data collected by business, government, the internet and social media provide opportunities for better management and a better society through evidence-based decision-making and the provision of new services. This unit introduces students to quantitative techniques and approaches to achieve these goals. Students will gain hands-on experience with software tools to analyse and present quantitative data. Students will be introduced to the discovery and analysis of social networks, social trends, and relationships amongst industry factors using spreadsheets and data visualisation software. The unit thus is an introduction to the technical and philosophical skills required, and the many applications of business analytics.
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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:
NOTE: The specific details of the final exam will be announced on iLearn
Assessment criteria for all assessment tasks will be provided on the unit iLearn site.
It is the responsibility of students to view their marks for each within-session-assessment on iLearn within 20 days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment tasks (not including the final exam mark) will not be addressed.
Late submissions of assessments
Sometimes unavoidable circumstances occur that might prevent you from submitting an assessment on time and, in that case, you may be eligible to lodge a Special Consideration request.
Unless a Special Consideration request has been submitted and approved, please note that no extensions to assessment deadlines will be granted.
For the data visualisation task ONLY, late submissions will attract a late penalty:
Table 1: Penalty calculation based on submission time
Submission time after the due date (including weekends) |
Penalty (% of total mark) |
Mark penalty |
< 24 hours |
10% |
10% x 25 marks = 2.5-mark deduction |
24-48 hours |
20% |
20% x 25 marks = 5-mark deduction |
48-72 hours |
30% |
30% x 25 marks = 7.5-mark deduction |
72-96 hours |
40% |
40% x 25 marks = 10-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 |
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Spreadsheet Functions | 15% | No | Week 4, see iLearn for more details |
Data Visualisation | 25% | No | Week 8, see iLearn for more details |
Final Examination | 60% | No | University Examination Period |
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 10 hours
Due: Week 4, see iLearn for more details
Weighting: 15%
Students will be asked to demonstrate skills in data manipulation.
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 20 hours
Due: Week 8, see iLearn for more details
Weighting: 25%
Students will use visualisation software to extract spreadsheet data to demonstrate interrelationships in different ways appropriate to the task.
Assessment Type 1: Examination
Indicative Time on Task 2: 30 hours
Due: University Examination Period
Weighting: 60%
The final exam to be held in the University exam period.
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
Textbook
Camm, Cochran, Fry, Ohlmann, Anderson & Sweeney, (2020) Business Analytics, 4th, Cengage
Camm et al also offer the text book online.
Technology used and required
Students should have access to standard spreadsheet software. We will be using MSExcel® and may reference similar software by other brands such as Minitab®. We will make extensive use of Data-Visualisation software, Tableau®. We have a teaching license for the session, and students will be given a key to download the full program for use in study at home.
Inherent requirements
Students are expected to install MSExcel® and Tableau® (either Windows or Apple OS) to their own laptops and/or computers. They will use the software in the online-lecture and tutorials.
Recommended readings
Suggested online readings, and resources are presented in each week's exercises. Without a formal textbook students will need to routinely read the sources shared in the unit website, and contribute others that they find.
Unit Web Page
Course material is available on the learning management system (iLearn). The general online website is http://ilearn.mq.edu.au
See iLearn for details
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.
Unit information based on version 2022.04 of the Handbook