Students

BUSA8090 – Data and Visualisation for Business

2023 – Session 1, In person-scheduled-weekday, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Covenor
Professor Olivera Marjanovic
olivera.marjanovic@mq.edu.au
Contact via email
Room 515/Building E4A
Wed 1-2pm
Credit points Credit points
10
Prerequisites Prerequisites
Admission to MActPrac or MAppStat or MBusAnalytics
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit prepares students for the world where "data is the new oil". Numerous business case studies are treated in depth so students emerge with a clear understanding of the "unreasonable effectiveness of data".The journey starts with the Linux command line. Along the way students will develop the skills necessary to tease data out of relational databases using SQL. Data visualisation is also a focus of the unit, which treats its analysis and design as well as its implementation using a variety of open source and commercial tools.

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: Devise programming language code for data analytics and visualisation using a variety of computer tools.
  • ULO2: Formulate SQL language approaches to relational database problems.
  • ULO3: Assemble statistical learning techniques to tackle data science problems.
  • ULO4: Examine and employ a variety of data visualisation techniques.
  • ULO5: Evaluate various popular data visualisation solutions.

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
Assignment 1 30% No Week 8
Assignment 2 30% No Week 13
Final Examination 40% No University Examination Period

Assignment 1

Assessment Type 1: Programming Task
Indicative Time on Task 2: 20 hours
Due: Week 8
Weighting: 30%

Practical coding assignment using SQL.
On successful completion you will be able to:
  • Devise programming language code for data analytics and visualisation using a variety of computer tools.
  • Formulate SQL language approaches to relational database problems.

Assignment 2

Assessment Type 1: Modelling task
Indicative Time on Task 2: 20 hours
Due: Week 13
Weighting: 30%

Practical coding assignment using data visualisation packages.
On successful completion you will be able to:
  • Devise programming language code for data analytics and visualisation using a variety of computer tools.
  • Assemble statistical learning techniques to tackle data science problems.
  • Examine and employ a variety of data visualisation techniques.
  • Evaluate various popular data visualisation solutions.

Final Examination

Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: University Examination Period
Weighting: 40%

A closed book two-hour final examination will be held during the University Examination period.
On successful completion you will be able to:
  • Devise programming language code for data analytics and visualisation using a variety of computer tools.
  • Assemble statistical learning techniques to tackle data science problems.
  • Examine and employ a variety of data visualisation techniques.
  • Evaluate various popular data visualisation solutions.

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

This unit prepares students for the world where "data is the new oil". Numerous business case studies are treated in depth so students emerge with a clear understanding of the "unreasonable effectiveness of data".The journey starts with the Linux command line. Along the way, students will develop the skills necessary to tease data out of relational databases using SQL. Data visualisation is also a focus of the unit, which treats its analysis and design as well as its implementation using a variety of open source and commercial tools.

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 2023.05 of the Handbook