Unit convenor and teaching staff |
Unit convenor and teaching staff
Brad Smith
Angela Chow
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
Admission to MBA or PGDipMgt or GradDipMgt or MSocEntre or GradCertSocEntre
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit provides quantitative/statistical research tools, data analysis and computer modelling necessary to help the modern business manager with strategic planning, tactical decision-making, and resolving business problems. It also covers the efficient use of all resources to enhance management effectiveness. The overall aim is to improve the reliability of decisions made and to develop better strategy through the use of scientific method. |
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:
Name | Weighting | Hurdle | Due |
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Individual Assignment | 40% | No | 07/08/2020 |
Final Exam | 60% | No | Exam Week - to be advised |
Assessment Type 1: Programming Task
Indicative Time on Task 2: 30 hours
Due: 07/08/2020
Weighting: 40%
Students will be required to practice what they have learned by completing the assignment.
Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: Exam Week - to be advised
Weighting: 60%
An open book three hour online exam will be held during the University Examination 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
Croucher, John. S. (2020). Quantitative Analysis for Management, 6th edition. McGraw-Hill Education. ISBN: 9781760425029
You should bring this textbook to all lectures as it is also a workbook.
Please note: Students should only attain the 6th edition of this textbook, which is the only edition this class will be taught from. Furthermore, this course relies heavily on the learning material provided in the textbook (which also acts as an exercise book for in-class demonstration and activities). It is highly advised that students attain the required textbook as soon as possible and familiarise themselves with the textbook material, especially before the start of each class session for sessions with specific allocated chapters (which is made available in the unit schedule below as well as the class iLearn page).
McGraw Hill Education Australia – Online store: This textbook is also available for order via the publisher’s online store. For information on textbook prices and online ordering, please refer to the McGraw Hill Education Australia online store at https://www.mheducation.com.au/quantitative-analysis-for-management-6e-9781760425029-aus
The text listed below are optional only. It is not compulsory to attain a copy.
A basic calculator with specific keys shown below is required in this unit since it will be used in all class tests and final exam. You may find it useful, but it is not necessary, to have a statistical calculator that has in-built statistical functions. There are several types of these:
In any case, your calculator should include the following keys:
x! ex nCr
You need to bring your calculator to every session class.
Access to a personal computer and internet connection is required to access learning material/resources online on Macquarie University's online learning management system called iLearn.
Students will also be required to gain access to statistical software called Minitab 16. While the text refers to Minitab 16, version 17 & 18 may be used. Further instructions are provided in the class iLearn page.
MMBA8160 Information and Decision Analysis
Remote Delivery Mode - Timetable
Unit Convenor – Brad Smith
The course timings and pre-work for each Zoom class is below. Further information about the zoom ‘live’ sessions will be provided prior to the first class on the Tuesday 23rd June 2020.
Students should do the pre-work prior to attending the “live” Zoom sessions scheduled at the times below. (* Note: Finish time for Zoom sessions is approximate and will be driven by student demand and involvement.)
Completion of the Class worksheets is optional, before the Zoom session. Some time will be provided in the Zoom sessions for you to do them and the answers will be detailed in these sessions.
Tuesday 23rd June |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 1 |
Course Introduction and Assessments Descriptive Statistics |
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Pre-work: |
Powerpoint Videos - (Links also in i-Learn)
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 30th June |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 2 |
Probability, discrete probability distributions, expected values and decision trees |
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Pre-work: |
Powerpoint Videos - (Links also in i-Learn)
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 7th July |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 3 |
Normal distribution, estimation and confidence intervals |
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Pre-work: |
Powerpoint Videos - (Links also in i-Learn)
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 14th July |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 4 |
Regression and time series forecasting |
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Pre-work: |
Powerpoint Videos - (Links also in i-Learn)
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 21st July |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 5 |
Categorical Variables |
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Pre-work: |
PowerPoint Videos
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 28th July |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 6 |
One Sample Testing |
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Pre-work: |
Powerpoint Videos
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Block 2
Tuesday 4th August |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 7 |
Analysis of Variance ( ANOVA) |
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Pre-work: |
PowerPoint Videos
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 11th August |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 8 |
Logistic Regression |
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Pre-work: |
Powerpoint Videos
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 18th August |
6pm – 7:30 pm – Sydney time (via zoom) |
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Session 9 |
Queue Theory |
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Pre-work: |
Powerpoint Videos
Text book Readings
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Class Worksheets (Optional Pre-work) |
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Tuesday 25th August |
6pm – 7:30 pm – Sydney time (via zoom) |
Session 10 |
Course Review, Assignment and Exam Q&A |
Pre-work: |
PowerPoint Videos
Session 10.1 Review-Introduction , Normal Curve and Estimation
Session 10.2 Review Discrete Random Variables Expected Values Decision Trees and Categorical Data https://macquarie.zoom.us/rec/share/vsV3LrCr8W5IRYHu6GHWeKglR5-7eaa81yIY8qIJyUsp_L-o8FuwhLwhF04waiq7
Session 10.3 Review ANOVA Linear and Logistic Regression and Queueing https://macquarie.zoom.us/rec/share/1dYscrOq92xOZbfBt2DBVo0nEaC8X6a8hnVM_fRbyU3tg1p-sn32tcItAepHY8To
Text book Readings
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Class Worksheets (Optional Pre-work) |
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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
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