Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer - BLOCK North Ryde class
John Croucher
Lecturer - THURSDAY North Ryde class
Brad Smith
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MBA or MMgmt 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.
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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:
Name | Weighting | Hurdle | Due |
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Individual assignment | 20% | No | 25 Oct 2018; 11 Nov 2018 |
In-class test | 20% | No | 8 Nov 2018; 11 Nov 2018 |
Final examination | 60% | No | Exam week: 26 Nov - 1 Dec 2018 |
Due: 25 Oct 2018; 11 Nov 2018
Weighting: 20%
Assessment due date for the THURSDAY weekly class with Brad Smith: 25 October 2018
Assessment due date for the BLOCK class with Professor John Croucher: 11 November 2018
Format: Question set
In order to understand properly the material covered in the course, it is necessary for you to practice what you have learned. The individual assignment (and exercises) provides an opportunity for you to gain experience in the techniques and concepts. There is only one individual assignment that you should do by yourself. It covers what you have learned in the lectures up to and including:
The solutions to this assignment will be discussed during the final lecture and also placed on the web site.
Extensions and penalties
No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for disruption of studies is made and approved. No submission will be accepted after solutions have been posted.
Due: 8 Nov 2018; 11 Nov 2018
Weighting: 20%
Assessment due date for the THURSDAY weekly class with Brad Smith: 8 November 2018
Assessment due date for the BLOCK class with Professor John Croucher: 11 November 2018
Duration: 1 hour
Format: Open book test
The in-class test, held under exam conditions during the class session, will include the material covered in sessions 1 - 6. You can use books, notes and a non-programmable calculator. It will consist of ten short answer/multiple choice questions. Notebook computers, iPads, tablets, PDAs and similar are not allowed. It is not necessary to pass this in-class test to pass the unit.
Due: Exam week: 26 Nov - 1 Dec 2018
Weighting: 60%
Duration: 3 hours plus 10 minutes reading time
Format: Open book final examination
You are expected to present yourself for examination at the time and place designated in the MGSM examination timetable. The timetable will be available on 3 October 2018 at https://students.mgsm.edu.au/sydney-students/units/exams/
The exam format will be open book, and will consist of a combination of multiple choice, short answer and problem solving style questions. More details on the exam will be provided in class. The final examination will cover all topics dealt within the unit. You can use books, notes and a non-programmable calculator. Notebook computers, iPads, tablets, PDAs and similar are not allowed.
Croucher, John. S. (2017). Quantitative Analysis for Management, Fourth edition. McGraw-Hill Education. ISBN: 9781760420864
Make sure it has ‘Fourth edition’ written on the front cover. The cover of this book is GREEN in colour.
You should bring this textbook to all lectures as it is also a workbook.
The Coop Bookshop: The Coop Bookshop is our main retailer for textbooks and other related academic material. For information on textbook prices and online ordering, please refer to The Co-Op Bookshop webpage at http://www.coop.com.au
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 http://www.mheducation.com.au/catalog/product/view/id/272960/s/quantitative-analysis-for-management-4e/.
Disclaimer: MGSM does not take responsibility for the stock levels of required textbooks from preferred retail outlets and other book retailers. While we advise our preferred book retail outlet, The Co-op Bookshop, of our maximum expected number of students purchasing specific required text each term, The Co-op Bookshop and other book retailers will make their own judgement in regard to their physical holding stock levels. To prevent disappointment if a textbook is out-of-stock, we highly advise students to order their textbooks as early as possible, or if the required textbook is currently out-of-stock, place an order with the book retailer as soon as possible so that these book retailers can monitor demand and supply, and adjust their stock orders accordingly.
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.
The web page for this unit can be found at: https://ilearn.mq.edu.au/login/MGSM
As an enhancement to this unit, there is a series of multiple choice and short answer questions that you may try on iLearn, Macquarie University's online learning management system. Answers will also be provided on iLearn. To access these, just log in via the link above.
The purpose of these questions is for practice only. They will not be used for assessment purposes but is hoped that you will attempt them for your own benefit.
For any enquiries regarding difficulties accessing these questions please contact Mr Ariel Alcantara on email at: ariel.alcantara@mgsm.edu.au.
Access to a personal computer is required to access resources and learning material from iLearn.
Students will also be required to gain access to statistical software called Minitab 16. Further instructions are provided in the class iLearn page.
Students are required to attend all classes. Students must only attend the class they are enrolled in as reflected in their e-Student account.
This unit will be presented over 10 sessions as follows:
Date of class:
The THURSDAY class for 2018 Term 4 is scheduled:
The BLOCK class for 2018 Term 4 is scheduled:
Session (students must only attend the class they are enrolled in as reflected in their e-Student account) | Topics and textbook chapters covered |
1 Thursday morning class - 9am to 1pm of 20 September 2018 OR BLOCK class - 9am to 1pm of Friday, 26 October 2018 |
Introduction to statistics - ch 1.1 Sampling procedures - ch 1.2 - 1.3 Summarising data - ch 1.4 - 1.7 Measures of centre - ch 1.8 - 1.14 Other statistical measures - ch 1.13 - 1.14, 1.16, 1.18 - 1.19 Big data - ch 1.20 |
2 Thursday morning class - 9am to 1pm of 27 September 2018 OR BLOCK class - 1pm to 5pm of Friday, 26 October 2018 |
Measures of variation - ch 2.1 - 2.3, 2.5 - 2.7 Using Microsoft Excel - ch 2.9 Using Minitab - ch 2.11 Normal distribution - ch 2.13 Areas under the normal curve - ch 2.14 - 2.18 Applications - ch 2.19 |
3 Thursday morning class - 9am to 1pm of 4 October 2018 OR BLOCK class - 9am to 1pm of Saturday, 27 October 2018 |
Estimation - ch 3.1 - 3.3 Confidence intervals - ch 3.4 - 3.10 Random variables - ch 3.13 - 3.16 Factorials, permutations and combinations - ch 3.17 - 3.19 Lotto type games - ch 3.20 |
4 Thursday morning class - 9am to 1pm of 11 October 2018 OR BLOCK class - 1pm to 5pm of Saturday, 27 October 2018 |
Correlation - ch 4.1 - 4.8 Time series models - ch 4.9 - 4.11 Regression models - ch 4.12 - 4.19 Exponential smoothing models - ch 4.23 - 4.28 Seasonal data - ch 4.29 - 4.30 Lag effects - ch 4.31 - 4.33 |
5 Thursday morning class - 9am to 1pm of 18 October 2018 OR BLOCK class - 9am to 1pm of Sunday, 28 October 2018 |
Categorical data - ch 5.1 - 5.3 Single variable data - ch 5.4 - 5.7 Contingency tables - ch 5.8 - 5.10 |
6 Thursday morning class - 9am to 1pm of 25 October 2018 OR BLOCK class - 1pm to 5pm of Sunday, 28 October 2018 |
Introduction to hypothesis testing - ch 6.1 - 6.5 Power of a test - ch 6.6 One-sample tests - ch 6.7 - 6.12 Using Minitab - ch 6.13 - 6.16 |
7 Thursday morning class - 9am to 1pm of 1 November 2018 OR BLOCK class - 9am to 1pm of Saturday, 10 November 2018 |
Analysis of variance (one-way) - ch 8.1 - 8.3, 8.5 Multiple comparisons - ch 8.8 - 8.9 Analysis of variance (two-way) - ch 8.10 Using Minitab - ch 8.11 Visual displays - ch 8.13 - 8.19 |
8 Thursday morning class - 9am to 1pm of 8 November 2018 OR BLOCK class - 1pm to 5pm of Saturday, 10 November 2018 |
Odds and probability - ch 9.1 - 9.3 Odds ratios - ch 9.4 Binary logistics regression - Single covariate - ch 9.5 - 9.7 Using Minitab - ch 9.8 - 9.9 Testing of parameters - ch 9.10 - 9.12 Binary logistic regression - Multiple covariate - ch 9.13 |
9 Thursday morning class - 9am to 1pm of 15 November 2018 OR BLOCK class - 9am to 1pm of Sunday, 11 November 2018 |
Queueing systems - ch 12.1 Definitions and parameters - ch 12.2 - 12.9 A simple queue - ch 12.10 Calculation of probabilities and outcomes - ch 12.11, 12.13 - 12.14 Multiple server queues - ch 12.16 - 12.22 |
10 Thursday morning class - 9am to 1pm of 22 November 2018 OR BLOCK class - 1pm to 5pm of Sunday, 11 November 2018 |
General course summary Case studies Outline of the final examination |
26 November - 1 December 2018 | Final exam week |
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:
Undergraduate 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 shown in iLearn, 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.
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 improve your marks and take control of your study.
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
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.
Our postgraduates will demonstrate a high standard of discernment and common sense in their professional and personal judgment. They will have the ability to make informed choices and decisions that reflect both the nature of their professional work and their personal perspectives.
This graduate capability is supported by:
Our postgraduates will be able to demonstrate a significantly enhanced depth and breadth of knowledge, scholarly understanding, and specific subject content knowledge in their chosen fields.
This graduate capability is supported by:
Our postgraduates will be capable of utilising and reflecting on prior knowledge and experience, of applying higher level critical thinking skills, and of integrating and synthesising learning and knowledge from a range of sources and environments. A characteristic of this form of thinking is the generation of new, professionally oriented knowledge through personal or group-based critique of practice and theory.
This graduate capability is supported by:
Our postgraduates will be capable of systematic enquiry; able to use research skills to create new knowledge that can be applied to real world issues, or contribute to a field of study or practice to enhance society. They will be capable of creative questioning, problem finding and problem solving.
This graduate capability is supported by:
Our postgraduates will be ethically aware and capable of confident transformative action in relation to their professional responsibilities and the wider community. They will have a sense of connectedness with others and country and have a sense of mutual obligation. They will be able to appreciate the impact of their professional roles for social justice and inclusion related to national and global issues
This graduate capability is supported by:
Assessment tasks: None
Delivery and resources: None
Unit schedule: None
The interactive environment of the classroom is central to the MGSM experience. Students are required to attend the full duration of all classes for the units in which they are enrolled. We recognise that exceptional circumstances may occur, such as unavoidable travel on behalf of your organization or the serious illness or injury of you or a close family member.
Special consideration may be given for a maximum of 20% non-attendance for such circumstances as long as lecturers are contacted in advance, and supporting documentation provided, to request exemption from attendance. Failure to abide by these conditions may result in automatic withdrawal, with academic and/or financial penalty. The full Student Attendance Policy is published in the MGSM Student Handbook at https://students.mgsm.edu.au/handbook.
These unit materials and the content of this unit are provided for educational purposes only and no decision should be made based on the material without obtaining independent professional advice relating to the particular circumstances involved.