Students

BUSA2020 – Data Modelling and Visualisation

2023 – Session 1, Online-scheduled-In person assessment, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor
Adam Abedini
adam.abedini@mq.edu.au
Credit points Credit points
10
Prerequisites Prerequisites
(BUSA1000 or COMP1000 or COMP1350) and (STAT150 or STAT1250 or STAT170 or STAT1170 or STAT171 or STAT1371)
Corequisites Corequisites
Co-badged status Co-badged status
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 builds on the quantitative techniques and approaches to achieve these goals that were introduced in BUSA1000.

Students will gain hands-on experience with software tools to analyse and present quantitative data 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.

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: Explore different methods of data analysis and presentation for social networks, complex systems and relational links.
  • ULO2: Create interactive models using appropriate software to aid decision-makers in understanding interrelationships and trends.
  • ULO3: Apply intermediate skills in spreadsheets and data visualisation software to demonstrate trends and relationships among factors in industry and society.
  • ULO4: Analyse government, industry and social media data to identify relationships and trends.
  • ULO5: Evaluate conclusions drawn from different data and analytic tools.

General Assessment Information

Late Assessment Submission Penalty (written assessments) 

Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical concern.  

For any late submissions of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.

Assessment Tasks

Name Weighting Hurdle Due
Spreadsheet Functions 15% No Week 4
Data Visualisation 25% No Week 8
Final Examination 60% No Formal examination period

Spreadsheet Functions

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.

 
On successful completion you will be able to:
  • Explore different methods of data analysis and presentation for social networks, complex systems and relational links.
  • Apply intermediate skills in spreadsheets and data visualisation software to demonstrate trends and relationships among factors in industry and society.

Data Visualisation

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.

 
On successful completion you will be able to:
  • Apply intermediate skills in spreadsheets and data visualisation software to demonstrate trends and relationships among factors in industry and society.
  • Evaluate conclusions drawn from different data and analytic tools.

Final Examination

Assessment Type 1: Examination
Indicative Time on Task 2: 30 hours
Due: Formal examination period
Weighting: 60%

 

The final exam to be held in the University exam period.

 
On successful completion you will be able to:
  • Explore different methods of data analysis and presentation for social networks, complex systems and relational links.
  • Create interactive models using appropriate software to aid decision-makers in understanding interrelationships and trends.
  • Apply intermediate skills in spreadsheets and data visualisation software to demonstrate trends and relationships among factors in industry and society.
  • Analyse government, industry and social media data to identify relationships and trends.
  • Evaluate conclusions drawn from different data and analytic tools.

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

Please refer to iLearn

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

Academic Integrity

At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.

Student Support

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

The Writing Centre

The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via AskMQ, or contact Service Connect.

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 2023.06 of the Handbook