Students

MMBA8160 – Information and Decision Analysis

2020 – MGSM term 3, Special circumstance

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff
Brad Smith
Angela Chow
Credit points Credit points
10
Prerequisites Prerequisites
Admission to MBA or PGDipMgt or GradDipMgt or MSocEntre or GradCertSocEntre
Corequisites Corequisites
Co-badged status Co-badged status
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.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Evaluate disparate data and information using appropriate quantitative tools to evidence and formulate well-informed and robust strategic business decisions.
  • ULO2: Use appropriate quantitative research tools, evaluate and synthesise quantitative data to help assess the implications of strategic decisions from a whole of entity perspective, and across a wide spectrum of stakeholders.
  • ULO3: Critically assess and integrate ethical, social and environmental factors into business decision-making and management practices that are also commercially viable from a quantitative point of view.
  • ULO4: Apply a range of research tools and models of business performance and productivity to measure and track sustainable value creation across organisational processes and projects.

Assessment Tasks

Name Weighting Hurdle Due
Individual Assignment 40% No 07/08/2020
Final Exam 60% No Exam Week - to be advised

Individual Assignment

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.

 


On successful completion you will be able to:
  • Evaluate disparate data and information using appropriate quantitative tools to evidence and formulate well-informed and robust strategic business decisions.
  • Use appropriate quantitative research tools, evaluate and synthesise quantitative data to help assess the implications of strategic decisions from a whole of entity perspective, and across a wide spectrum of stakeholders.
  • Critically assess and integrate ethical, social and environmental factors into business decision-making and management practices that are also commercially viable from a quantitative point of view.
  • Apply a range of research tools and models of business performance and productivity to measure and track sustainable value creation across organisational processes and projects.

Final Exam

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.

 


On successful completion you will be able to:
  • Evaluate disparate data and information using appropriate quantitative tools to evidence and formulate well-informed and robust strategic business decisions.
  • Use appropriate quantitative research tools, evaluate and synthesise quantitative data to help assess the implications of strategic decisions from a whole of entity perspective, and across a wide spectrum of stakeholders.
  • Critically assess and integrate ethical, social and environmental factors into business decision-making and management practices that are also commercially viable from a quantitative point of view.
  • Apply a range of research tools and models of business performance and productivity to measure and track sustainable value creation across organisational processes and projects.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

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). 

Where to purchase the textbook?

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

Additional Recommended Text

The text listed below are optional only. It is not compulsory to attain a copy.

  • Croucher, John S. (2016). Introductory mathematics and statistics for business (6th edition- revised). McGraw-Hill.
  • Render, B., Stair, R., Hanna, M.E. and Hale, T.S. (2018). Quantitative analysis for management (13th edition). Pearson.
  • Bowerman, B.L., O’Connell, R. and Murphree, E. (2016). Business statistics in practice (8th edition). McGraw-Hill

Calculator

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: 

  • The lowest level statistical calculator has function keys such as the mean and standard deviation but no other statistical function keys.
  • The next level above also has function keys for correlation and linear regression. An example is one of the Casio fx series such as the 82 or 100 series, but there are many others.

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 Technology

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.

Unit Schedule

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)

Session 1

Course Introduction and Assessments

Descriptive Statistics

Pre-work:

Powerpoint Videos - (Links also in i-Learn)

Session 1.0 Introduction

https://macquarie.zoom.us/rec/share/_vZlMrPZ2XFIX4HftF7RdJc9PZXdX6a81Sca8vsLyB2B6D6vWQeJkY1l_xneYw6_?startTime=1585452259000

Session 1.1 Course Introduction

https://macquarie.zoom.us/rec/share/_dReCu777TpJTKfhuUTfYKs5EZ3YT6a81XNL-vIImhkPPgW12WJavprigO2noWsC?startTime=1585472900000

Session 1.2: Introduction and Course Overview - Why Study IDA?

https://macquarie.zoom.us/rec/share/4NMuF6jw915IQreS7k-Ac_clJY3VX6a81iEbrPoLzx5mTk2PlGCvhfaBStIvP5DL?startTime=1585532197000

Session 1.3 : Introduction to Statistics, Sampling Procedures and Visually Summarising Data

https://macquarie.zoom.us/rec/share/wd0lDe-p8nFJaK_M526YA6xiLo_Jeaa8gSdI_qUKyU0XACLa_iNvgiMjr8levTxL?startTime=1585542996000

Session 1.4 : Introduction to Statistics Numerical Summaries of Data-Central Tendency

https://macquarie.zoom.us/rec/share/z-NEBrTy9HxLcoXS52PuRa4RP8PBeaa80ChPq_AOnUxCct7VKrmEm12z-NIA7bT-?startTime=1585608114000

Session 1.5 : Introduction to Statistics Numerical Summaries of Data Quartiles and Boxplots

https://macquarie.zoom.us/rec/share/v8lvP4z173NLGKfDsHjBQZUEGY3Zeaa80XcZ_PdfxRqDwjbeDi4NO6KmQBlj_yQ6?startTime=1585613487000

Session 1.6 : Introduction to Statistics-Numerical Summaries of Data-Variation

https://macquarie.zoom.us/rec/share/5vVLBKnhrHxJAa-O2kPyQL4rPIvIaaa8g3Uc-PsFxUseOVk8HVanHTnh6kcL5qA8?startTime=1585626337000

Text book Readings

  • 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
  • Measures of variation - ch 2.1 - 2.3, 2.5-2.7

Class Worksheets

(Optional Pre-work)

 

  • Session 1 Handout Download Speeds

 

Tuesday 30th June

6pm – 7:30 pm – Sydney time (via zoom)

Session 2

Probability, discrete probability distributions, expected values and decision trees

Pre-work:

Powerpoint Videos - (Links also in i-Learn)

 

Session 2.1: Probability Risk and Decisions

https://macquarie.zoom.us/rec/share/9ZRYJLX-0nJLBYXdq0aEfPYeBJXEX6a8hyRNrKYMyU6enO0moA5JZes4sSlwPY5E?startTime=1585694558000

Session 2.2: Independent and Conditional Probability

https://macquarie.zoom.us/rec/share/6tdlNLG31m5LRqfwuW_kAI88PbvAaaa81HdL-voFzdT4S5UzyALHQBbg3VEMzlM?startTime=1585697173000

Session 2.3: Probability – Discrete Random Variables and Expected Value

https://macquarie.zoom.us/rec/share/1esrCq6zp0BOXqfRzED2WfYBPKr9aaa81SFIqfsImRlRABAWfXsaWYbqCpXr2vYh?startTime=1585703017000

Session 2.4: Decision Trees

https://macquarie.zoom.us/rec/share/-s1EFLb99kRLRKPN5WLlf5w5H97veaa82yBP8vUNnUumX1hMVaclGUdsugaBv2Rq?startTime=1585708371000

 

Text book Readings

 

  • Independence – ch -10.1
  • Conditional Probability – ch 10.11
  • Random variables with Applications - ch. 3.13 - 3.16

 

 

Class Worksheets

(Optional Pre-work)

 

  • Session 2 Probability Distribution Questions
  • Session 2.1 Random Variable and Expected Value Questions

 

 

 

 

Tuesday 7th July

6pm – 7:30 pm – Sydney time (via zoom)

Session 3

Normal distribution, estimation and confidence intervals

Pre-work:

Powerpoint Videos - (Links also in i-Learn)

 

Session 3.1 The Normal Distribution – Introduction

https://macquarie.zoom.us/rec/share/tJYuAZHV2E5JH6fs5nvAZoVxIb_LT6a80XIa-qcJxBv4v2c4TnkqgB-8x6SnhkM_?startTime=1585732803000

Session 3.2: The Normal Distribution - Determining Probability Under the Curve

https://macquarie.zoom.us/rec/share/5IstDZ7t9WhOetLx1lrEYf4jRYPKT6a8gCIWqfIJmk5Q0Y7L5KHmnW_OqpASW6ew?startTime=1585783085000

Session 3.3 The Normal Distribution-Some Applications

https://macquarie.zoom.us/rec/share/4uY2ELvdy1pIX5WT9wKPV4wbNIbaeaa80SVIrvILzE6f5toNtrRiXfDw7kCC8fc?startTime=1585800303000

Session 3.4 Inferential Statistics Estimation and Confidence Intervals

https://macquarie.zoom.us/rec/share/wMUyIrip81hJX6vt427QYL8zOaP3aaa81Hcf__ZYyh0Uz9BpT4rsgYHlaidI3xV-?startTime=1585829925000

Session 3.5 The Central Limit Theorem

https://macquarie.zoom.us/rec/share/tdVnEO7Xz19IepHJr2LVZa89Lp7eaaa8hChN-vpezhrrIInVeizx2ryMRgu0b5Km?startTime=1585832371000

Text book Readings

 

  • Normal distribution - ch. 2.13
  • Areas under the normal curve - ch. 2.14 - ch. 2.18
  • Applications - ch. 2.19 
  • Estimation - ch 3.1 - 3.3
  • Confidence intervals - ch 3.4 - 3.10

 

 

Class Worksheets

(Optional Pre-work)

 

  • Session 3 Activity Normal Curve Calculations
  • Session 3.1 Activity Central Limit Calculations

 

 

 

 

 

Tuesday 14th July

6pm – 7:30 pm – Sydney time (via zoom)

Session 4

Regression and time series forecasting

Pre-work:

Powerpoint Videos - (Links also in i-Learn)

 

Session 4.1 Regression Analysis - Correlation and Forecasting

https://macquarie.zoom.us/rec/share/z_xJD-vrz0ROcpXu5kr9e4EOOprXaaa81yIc_KUEzB6uWgLOotr03FiiOw1byv1v?startTime=1585890450000

Session 4.2 Regression Basics

https://macquarie.zoom.us/rec/share/5e1RI7Ti90FJQp2U-HzFBKQAMNzXT6a80SIYrvINxRvaBZIC0m5ZfcbM_nmztc2N?startTime=1585903012000

Session 4.3: Regression Analysis Leverage Points Outliers and Residual Analysis

https://macquarie.zoom.us/rec/share/_d12DevqsWZIX5HnxE6GRqAvG6TJaaa81CUYr_YFnUhZ9tA1qy2Y7cQoB0E4IYoX?startTime=1585909846000

Session 4.4 Regression Analysis Multiple Regression and Associated Issues

https://macquarie.zoom.us/rec/share/wfZ_JrXO9EBObbPg6k38AfMMQo3Geaa81nBMr6YFyk5PbeDPWsqSceIF60HUPTKZ?startTime=1586043174000

Session 4.5 Regression Analysis Wine Aroma Example

https://macquarie.zoom.us/rec/share/xvB2KpDM2lpLcomW0mrhQYN6NLjgaaa823VI_PIEykwZ4JbMl-H7SmW3yPm07ohc?startTime=1586054007000

Session 4.6 Time Series Analysis

https://macquarie.zoom.us/rec/share/w5MpP6Pdxm5OWqPmxECOZe0CT5v5X6a82iVP8vUExRyTtGqWS8a8M2O4RJ3q7TmV?startTime=1586059009000

Text book Readings

 

  • Correlation - ch 4.1 - 4.8
  • Regression models - ch 4.12 - 4.19
  • Exponential smoothing models - 4.23 - 4.28
  • Time series models - ch 4.9 - 4.11
  • Seasonal data - 4.29 - 4.30
  • Lag effects - 4.31 - 4.33

 

 

Class Worksheets

(Optional Pre-work)

  •  
  • Session 4 Linear Regression Analysis Handout

 

 

 

 

 

Tuesday 21st  July

6pm – 7:30 pm – Sydney time (via zoom)

Session 5

Categorical Variables

Pre-work:

PowerPoint Videos

 

Session 5.1 Analysis of Categorical Data Hypotheses Testing

https://macquarie.zoom.us/rec/share/uPBQAqHJ521OE4nMxUPkfr4jG77qaaa8gCcd-_QPxBx-Fqp3WcPN7VCuoXc-RF7e?startTime=1586142493000

Session 5.2 Categorical Data Single Categorical Variables

https://macquarie.zoom.us/rec/share/2PJqLovp1lFOf5Hn2lvNU74vJ4bkaaa8gyYYqKIJnkz7AsrU9i-zrCWxGt-XSrnl?startTime=1586147815000

Session 5.3 Analysis of Categorical Data-Contingency Tables

https://macquarie.zoom.us/rec/share/yMVKCe_K32ZIBa_mr1DeXv4aN5rZX6a8gyUY_KVbn00vTkzd_j_FbqHNaZqPrgVY?startTime=1586165447000

Text book Readings

  • Introduction to hypothesis testing - ch 6.1 - 6.5
  • Categorical data - ch 5.1 - 5.3
  • Single variable data - ch 5.4 - 5.7
  • Contingency tables - 5.8 - 5.10

 

Class Worksheets

(Optional Pre-work)

 

  • Session 5 Analysis of Categorical Data 1
  • Session 5.1 Analysis of Categorical Data 2

 

Tuesday 28th July

6pm – 7:30 pm – Sydney time (via zoom)

Session 6

One Sample Testing

Pre-work:

Powerpoint Videos

Session 6.1 One Sample Tests z-Tests

https://macquarie.zoom.us/rec/share/9-FWFY_W629OW7ftuGvvY4dxR5r8T6a80CMY-PAEyBnmylEKt4EItYmnhOJnj462?startTime=1586170191000

Session 6.2: One Sample Tests t-Tests p-value tests and confidence intervals

https://macquarie.zoom.us/rec/share/-OpkAr3r_GVOAbPvw2v9UPZxAd6-X6a823Ua-Ptcmk61Uw3xHAX9RF7mv4JZSagE?startTime=1586216259000

 

Text book Readings

 

  • One-sample tests - ch 6.7 - 6.12
  • Using Minitab - ch 6.13 - 6.16

 

 

Class Worksheets

(Optional Pre-work)

 

  • Session 6 One Sample Testing

 

 

 

Block 2

 

Tuesday 4th August

6pm – 7:30 pm – Sydney time (via zoom)

Session 7

Analysis of Variance ( ANOVA)

Pre-work:

PowerPoint Videos

 

Session  7.1 Analysis of Variance (ANOVA) Introduction and Single Variable Applications

https://macquarie.zoom.us/rec/share/7MoyP6Ggz35IRrPw6WaDAKwlOIX7eaa8hnQb_vcJyh70lsHaomPc5WyZIlMifaqL?startTime=1586477449000

Session  7.2: Analysis of Variance (ANOVA) Multiple Comparisons

https://macquarie.zoom.us/rec/share/wNVTMpvUxEBIHqfRt2PzYL4tEIvraaa8hyIeqPYJzkxQrkOqfoEAYEbSefFSY9TH?startTime=1586485257000

Session 7.3 Analysis of Variance (ANOVA) Two Way ANOVA

https://macquarie.zoom.us/rec/share/3tRqP47f6mZJaa_U613-A_QYN6n7T6a8g3dIrKJemB0HVE5ZRuLAPe-fr2WPkoO-?startTime=1586490933000

Session  7.4 Analysis of Variance (ANOVA) Two Way ANOVA With Replication

https://macquarie.zoom.us/rec/share/4_xIFZX0qGdLT53t92faUYwLFJrPeaa8g3dP-PcNnkyXwx08iwkCJqmUfqPkc6nR?startTime=1586503510000

Text book Readings

  • Analysis of variance (one-way) - ch 8.1 - 8.7, 8.12
  • Multiple comparisons - ch 8.8 - 8.11
  • Analysis of variance (two-way) - ch 8.13 - 8.17
  • Using Minitab - ch 8.19

 

Class Worksheets

(Optional Pre-work)

 

  • Session 7 One-way ANOVA Download Speeds
  • Session 7 One-way ANOVA Example Executive Salaries
  • Session 7 One-way ANOVA Example
  • Session 7 Two-way ANOVA Example

 

 

 

 

 

Tuesday 11th  August

6pm – 7:30 pm – Sydney time (via zoom)

Session 8

Logistic Regression

Pre-work:

Powerpoint Videos

 

Session 8.1 Logistic Regression Introduction and Odds

https://macquarie.zoom.us/rec/share/zPx3CLzIxFhLY8_A1BnidvA-E5rVX6a80CAc_PRZyU3S-pK5tD4qy0sxqeIKjrsp?startTime=1586654501000

Session 8.2 Logistic Regression – Simple Logistic Regression

https://macquarie.zoom.us/rec/share/-_1yIJzryFNJW5Xu6BniBekLGY_Heaa81SJKrvoOnh44CaE0rE060ARm0fjeL86j?startTime=1586660193000

Session 8.2.1 Simple Logistic Regression NASA Case Study

https://macquarie.zoom.us/rec/share/pu9MNZXP811Ja5GXs2D6Sq88XaPLX6a81ygXrqcJy0zn98jcH3rs7huW4LkQNFzI?startTime=1586667900000

Session 8.3 Logistic Regression - Multiple Logistic Regression

https://macquarie.zoom.us/rec/share/wNQsK-qtzFlLbNaTr336VooRWZX5eaa8hicYq6EEzBzeYOQHr288Y-zZf5gdfh2x?startTime=1586673909000

Text book Readings

 

  • 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 covariates - ch 9.13

 

 

Class Worksheets

(Optional Pre-work)

  •  
  • Session 8 Log Regression Worksheet 1
  • Session 8 Log Regression Worksheet

 

 

 

 

 

Tuesday 18th  August

6pm – 7:30 pm – Sydney time (via zoom)

Session 9

Queue Theory

Pre-work:

Powerpoint Videos

Session 9.1 Queues Introduction and Single line single server (MM1) Queues

https://macquarie.zoom.us/rec/share/y5JeA-r0piBIE6vE63_tA6kmM9j-aaa8hyQZr_QIyEzg1ilPCWtWwk1IcnMtBpJV?startTime=1586733718000

Session 9.2 Queues-Introduction to Simulation

https://macquarie.zoom.us/rec/share/585aH6nWqEFJXLP8sAbCYZQuB5y4aaa80XJM-vEEnkibKr3GwMpSo3bRbVkqcdXM?startTime=1586742908000

Session 9.3 Queues Single Line Multiple Server (MMs) Queue Systems

https://macquarie.zoom.us/rec/share/64ssK5fTyntLbrPBt1CHYr8sQ4G5aaa8hHMeq_MJzh2ZJhxE-6ieYpK0V2mG0T5O?startTime=1586748611000

Text book Readings

  • 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 - 12.16 - 12.22

 

Class Worksheets

(Optional Pre-work)

  • Session 9 Activity 1 MGSM Phones Worksheet
  • Session 9 Activity 2 Fast Food Restaurant Worksheet
  • Session 9 Activity 3 Six Sigma Bank
  • Session 9 Activity 4 Telephone Ordering System

 

 

 

 

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

https://macquarie.zoom.us/rec/share/x51ZEpTI7GlJQJXntHnPBbQZN4fDeaa81ihL-PZYz0oLKPnTqqLAfXFgdJN16Bgx?startTime=1587430334000

 

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

 

  • Review all previous readings

 

Class Worksheets

(Optional Pre-work)

  • Session 10 Revision Activity 1 Normal Curve
  • Session 10 Revision Activity 2 Estimation and Confidence Intervals Exercise
  • Session 10 Revision Activity 3 Expected Value Calculations
  • Session 10 Revision Activity 4 Analysis of Categorical Data
  • Session 10 Revision Activity 4.3 One Sample Tests
  • Session 10 Revision Activity 5 Linear Regression Analysis New TV Handout
  • Session 10 Revision Activity 5 Single ANOVA
  • Session 10 Revision Activity 6 Log Regression
  • Session 10 Revision Activity 7 Queueing

 

Policies and Procedures

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).

Student Code of Conduct

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

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

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

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. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

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

IT Help

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.