FIT3179 Data visualisation
Faculty of Information Technology
FIT3179 Data visualisation is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 1 at Clayton. It needs FIT1045, FIT1053, FIT1008, FIT1054, FIT2085, ENG1013, ENG1014, FIT1048 or FIT1051.
- Credit points
- 6
- Offered in 2027
- Semester 1
- Clayton
- Assessment
- No exam
- 4 tasks
- Workload
- 144 hours
- per semester
Reviews
No reviews yetNo reviews yet. Be the first to review FIT3179.
Requisites
Before FIT3179
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
- FIT1045Software development 1: Programming foundationsRated 5.0 out of 5 from 1 review
- FIT1053Introduction to programming (Advanced)No reviews yet
- FIT1008Fundamentals of algorithmsRated 4.0 out of 5 from 1 review
- FIT1054Fundamentals of algorithms (Advanced)No reviews yet
- FIT2085Fundamentals of algorithms for engineersNo reviews yet
- ENG1013Engineering smart systemsNo reviews yet
- ENG1014Engineering numerical analysisNo reviews yet
- FIT1048Fundamentals of C++No reviews yet
- FIT1051Programming fundamentals in javaNo reviews yet
After FIT3179
No unit lists FIT3179 as a prerequisite in the 2027 handbook.
Enrolment rules
Prerequisite: AND must have passed 24 credit points of level 2 or 3 units from any faculty
Equivalent units
The same content under another code. Only one of them counts.
Overview
Data visualisation is a powerful technique that allows us to use our visual system to understand data. Interactive data visualisation is now common in business, engineering and design and the social and physical sciences. This unit introduces the main kinds of information graphics and interactive visualisation systems and their areas of application. It investigates the reasons why visualisation can be effective and based on this you will gain experience in critically assessing data visualisations and in designing your own visualisations. You will learn how to create visualisations with representative computer tools and gain experience in creating a data visualisation for an application domain of their choice.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- Studio TasksExercise15%
- Class TestsQuiz / Test35%
- Data Visualisation IProject25%
- Data Visualisation IIProject25%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Critically analyse data visualisations;
- 2
Create effective data visualisations;
- 3
Describe the main applications of data visualisation in business, engineering and design, and the social and physical sciences;
- 4
Describe the advantages, drawbacks and pitfalls of the visual presentation of data as compared to its presentation using other media.
Workload and teaching
- Studio activities24 hours
- Workshops24 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Where it fits
FIT3179 is part of 2 areas of study in the 2027 handbook.
Contacts
- Chief Examiners
- Associate Professor Bernhard Jenny
Common questions
What are the prerequisites for FIT3179?
You need FIT1045, FIT1053, FIT1008, FIT1054, FIT2085, ENG1013, ENG1014, FIT1048 or FIT1051 before you enrol. Enrolment rules also apply.
When is FIT3179 offered?
In 2027, FIT3179 runs in Semester 1 at Clayton.
How much work is FIT3179?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT3179 have an exam?
No. FIT3179 has 4 assessment tasks and no exam.
Which majors and minors include FIT3179?
FIT3179 is part of Business analytics and Software engineering.