Students

BUSA3015 – Business Forecasting

2021 – Session 2, Special circumstances

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.

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor/ Lecturer
Farida Akhtar
farida.akhtar@mq.edu.au
Credit points Credit points
10
Prerequisites Prerequisites
130cp at 1000 level or above including (STAT150 or STAT1250 or STAT170 or STAT1170 or MKTG216 or MGMT2016)
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description
This unit explores business forecasting by considering the planning process of the organisation, the environment in which business forecasts are made, prediction of key variables using qualitative and quantitative information, and the practical considerations of forecast implementation. Quantitative predictions will generally make use of spreadsheets and simple statistical procedures that can be easily applied in the business environment.

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: Identify and explain the need for, and uses of, forecasting in a business context.
  • ULO2: Select and apply quantitative and qualitative forecasting techniques for use in business.
  • ULO3: Demonstrate practical knowledge of spreadsheets and statistical software to produce business forecasts.
  • ULO4: Critically examine business contexts and transform relevant data to provide recommendations for stakeholders.

General Assessment Information

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:

  1. There will be a deduction of 10% of the total available marks for each 24 hour period or part thereof that the submission is late.
  2. No assessment will be accepted more than 72 hours after the original due date and time (incl. weekends).
  3. No late submissions will be accepted for timed assessments (e.g., quizzes, online tests) or for tasks with a weighting of 10% or less.

Assessment Tasks

Name Weighting Hurdle Due
Online quizzes 10% No Week 7 & 10
Critical Thinking - Applying forecasting to problems - Two Reports 40% No Week 8 & Week 12
Final Examination 50% No University Examination Period

Online quizzes

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Week 7 & 10
Weighting: 10%

 

There will be two online quizzes that involve a range of multiple choice and/or short answer style questions. You will be making calculations and recommendations.

 
On successful completion you will be able to:
  • Identify and explain the need for, and uses of, forecasting in a business context.
  • Select and apply quantitative and qualitative forecasting techniques for use in business.
  • Demonstrate practical knowledge of spreadsheets and statistical software to produce business forecasts.

Critical Thinking - Applying forecasting to problems - Two Reports

Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 30 hours
Due: Week 8 & Week 12
Weighting: 40%

 

Students will submit two reports, of between 500-750 words each, as well as numerical answers submitted through iLearn, addressing the presented problem/s and/or issues. Your ability to think critically will be assessed.

 
On successful completion you will be able to:
  • Select and apply quantitative and qualitative forecasting techniques for use in business.
  • Critically examine business contexts and transform relevant data to provide recommendations for stakeholders.

Final Examination

Assessment Type 1: Examination
Indicative Time on Task 2: 15 hours
Due: University Examination Period
Weighting: 50%

 

An online open book exam of 2 hours duration (plus 10 minutes reading time) will be undertaken during the University Examination period.

 
On successful completion you will be able to:
  • Select and apply quantitative and qualitative forecasting techniques for use in business.
  • Critically examine business contexts and transform relevant data to provide recommendations for stakeholders.

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

Classes

  • 3 hours of  teaching per week consisting of:
    • 1 x 2 hour lecture (online) and
    • 1 x 1 hour tutorial. Tutorials begin in Week 2.**
  • The timetable for classes can be found on the University web site at: http://www.timetables.mq.edu.au/

** Note: the first tutorial (starting in week 2) will be conducted online even if the tutorial is said to be online or on campus. An announcement will be made to advise if on campus classes will continue to be online or back on campus from week 3 onwards. Please check ilearn on regular basis for updates.

Recommended Texts and/or Materials

You do not need to buy these books. Handouts of readings that cover similar material will be distributed via iLearn.

Hanke, John E & Wichern, Dean W, (2013), Business Forecasting, (International Edition) Pearson, (9th Edition) ISBN: 9781292023007, ISBN 10: 1292023007.

Also available as a Kindle book.

The library has complimentary electronic copies where a certain number of users can access the book at the same time.

Additional Readings

Hyndman, Rob J and Athanasopoulos, George (2014), Forecasting: principles and practice, OTexts Online: https://www.otexts.org/fpp/

Technology Used and Required

Students will learn to use Microsoft Excel (compulsory) and MINITAB (optional)

Unit Web Page

The web page for this unit can be found at: iLearn http://ilearn.mq.edu.au

Teaching and Learning Strategy

This unit is lecture- and tutorial-based. Typically, the class-time structure will be like this:

  1. Lectures: Business Forecasting theory and concepts will be discussed. We will establish links between theory and your personal knowledge in a business strategic planning setting during class discussions.
  2. Tutorials: students are required to work on some tasks of business forecasting solutions using several models and techniques. Student participation and meaningful contribution are essential to understand business forecasting concepts and calculations.

Note: Lecture notes will be posted before each lecture on iLearn.

Passing the Unit

Students must obtain a mark of 50% to pass the unit. There are no other hurdle requirements for passing the unit.

Unit Schedule

 

 

Week(s)

Week beginning Monday

Topic

Book Chapter(s)

Assessment

1

26-Jul

Introduction to Forecasting in Management

  • Explaining the unit outline.
  • The meaning and philosophy of forecasting.
  • Organisations, planning and budgeting.

Hanke & Wichern (H&W) Ch. 1

 

Hyndman & Athanasopoulos

(H&A) Ch. 1

 

2

2-Aug

The Forecasting Environment

  • Evaluation of forecasting tasks.
  • Definition of time series
  • Sources of data for prediction
  • Analysing components of -Time Series.
  • Stationarity

H&W: Ch. 2, 3, 5

H&A: Ch. 2

 

3-6

9-Aug  

to

30-Aug

Introduction to Quantitative Forecasting Techniques

  • Errors of prediction, Costs of errors
  • Simple predictor models
  • Naïve, MA, SES

 

Incorporating Steps and Trends

  • ARSSES model
  • Prediction of trends
  • Holts smoothing model
  • Trend extrapolation

 

Exploring Seasonality

  • Seasonal models
  • De-seasonalising data
  • Decomposition
  • Winters Smoothing Model

H&W: Ch. 4, 5

H&A: Ch. 2, 7

 

 

H&W: Ch. 4, 5

H&A: Ch. 7

 

 

H&W: Ch. 4, 5

H&A: Ch. 6, 7

 

7-9

6-Sep

to

4-Oct

 

Regression Models (I)

  • Introduction to Regression models.
  • Ways to Evaluate Models
  • Diagnosing Regression Models

 

Regression Models (II)

  • Dummy Variables
  • Trends in Regression
  • Autoregressions

H&W: Ch. 6, 7

H&A: Ch. 4, 5

 

 

 

H&W: Ch. 7, 8

H&A: Ch. 4, 5, 9

Quiz 1 in Week 7 - see iLearn for day and time

 

 

Week 8: Case Study Report 1 - see iLearn for day and time

10

11-Oct

Business Indicators

  • Leading Indicators
  • Cycles
  • Anticipatory Surveys

 

Quiz 2 in Week 10 - see iLearn for day and time

11

18-Oct

Judgmental Forecasting (I)

  • Judgmental methods
  • Subjective probability assessments.
  • The role of judgmental prediction in the organisation

 

Judgmental Forecasting (II)

  • Scenario development methods
  • DELPHI approaches
  • Analogy methods

H&W: Ch. 10

H&A: Ch. 3

 

 

 

H&W: Ch. 10

H&A: Ch. 3

 

 

12

25-Oct

Judgmental Forecasting and Forecast Adjustments (I)

  • Other types of Judgmental Forecast Methods
  • Judgmental Forecast Examples
  • Combining Forecasts

 

Judgmental Forecasting and Forecast Adjustments (II)

  • Using all the information to forecast.
  • Putting it all together.
  • Forecasting in practice.
  • The future of forecasting

H&W: Ch. 10

H&A: Ch. 3

 

 

 

 

H&W: Ch. 10, 11

H&A: Ch. 3

Case Study Report 2 – see iLearn for day and time

13

1-Nov

Revision

 

 

 

 

Policies and Procedures

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.

Student Code of Conduct

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

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.

Unit information based on version 2021.02 of the Handbook