Session 2 Learning and Teaching Update
The decision has been made to conduct study online for the remainder of Session 2 for all units WITHOUT mandatory on-campus learning activities. Exams for Session 2 will also be online where possible to do so.
This is due to the extension of the lockdown orders and to provide certainty around arrangements for the remainder of Session 2. We hope to return to campus beyond Session 2 as soon as it is safe and appropriate to do so.
Some classes/teaching activities cannot be moved online and must be taught on campus. You should already know if you are in one of these classes/teaching activities and your unit convenor will provide you with more information via iLearn. If you want to confirm, see the list of units with mandatory on-campus classes/teaching activities.
Visit the MQ COVID-19 information page for more detail.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Yanlin Shi
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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:
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. Assessments that are submitted late will attract a late penalty:
Name | Weighting | Hurdle | Due |
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Spreadsheet Functions | 15% | No | Week 4 |
Data Visualisation | 25% | No | Week 8 |
Take-home Exam | 60% | No | University examination period |
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 10 hours
Due: Week 4
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
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 take-home exam will have task-based questions covering both quantitative analysis and data visualisation.
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 and the course will be structured around MindTap.
Technology used and required
Students should have access to standard spreadsheet software. We will be using MSExcel® and making reference to 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
We are still learning about the expectations of industry, and the capabilities and interests of our students, so we may make small changes to the timing and attention to different topics as the unit progresses.
Week |
Content |
Text Book Sections |
1 |
Introduction: Text Book (Camm et al) and MindTap. Basic Spreadsheet Functions |
1.1, 1.2, 1.3, 1.4, 1.5 2.1, 2.2, 2.3, 2.4 Appendix A |
2 |
Spreadsheet Functions continue: Graphs & Data |
2.5, 2.6, 2.7, 2.8, 2.9 |
3 |
Advanced Spreadsheet Functions. Tidy data, Pivot Tables, Pivot Charts |
3.1, 3.2, 3.3 |
4 |
Statistical Inferencing Model building – Regression and Multiple Regression |
6.2, 6.5, 6.6 7.1, 7.2, 7.3, 7.4, 7.5 Spreadsheet Functions assignment (15%) due. |
5 |
Tableau Guest Speaker |
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6 |
Dashboards in Tableau Time Series analysis and Forecasting |
8.1, 8.2, 8.3, 8.4 |
7 |
Storyboards in Tableau Guest Speaker |
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8 |
Spreadsheet Models |
10.1, 10.2, 10.3, 10.4 Data visualisation assignment (25%) due. |
9 |
Modelling Uncertainty – Events and Probabilities |
5.1, 5.2, 5.3, 5.4 |
10 |
What-if Sensitivity Analysis |
11.1, 11.2, 11.3, 11.4 |
11 |
Optimisation |
12.1, 12.2, 12.3, 12.4, 12.5 |
12 |
Data Mining |
4.1, 4.2, 4.3 |
13 |
Summary and looking to next semester – Logistical regression |
9.3 |
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.
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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.
We will use the new edition of the textbook.
There is a final exam to replace the assessments 3 and 4 offered in previous sessions.
Unit information based on version 2021.02 of the Handbook