VISUAL ANALYTICS
BUS5VA
2017
Credit points: 15
Subject outline
As data becomes ever more complex to analyse, the need for tools to help integrate the user's knowledge andi nference capability into the analytical process becomes important. In analytics, this is generally referred to as visualisation, which this unit will cover in detail from various perspectives, e.g., temporal, spatial,spatial-temporal, multi-variate, text/documents, graphs and networks, and more.These perspectives will be covered with various business applications in mind including, statistical and summary reporting, trends spotting and projections, process capture, real-time reporting, etc. These applications will be discussed with reference to various visual analytics frameworks and theories as well as case examples.
School: La Trobe Business School
Credit points: 15
Subject Co-ordinator: Kok-Leong Ong
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: BUS5PB; or student enrolled in SMDS or HMSA or HGSA
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Visual Insights | Recommended | Borner and Polley, 2014 | MIT Press |
| Readings | Now You See It: Simple Visualisation Techniques for Quantitative Analysis | Recommended | Few, 2009 | Analytics Press |
| Readings | Tableau Your Data!: Fast and Easy Visual Analysis with Tableau Software | Recommended | Murray, 2013 | Wiley |
| Readings | The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions | Recommended | Simon, 2014 | Wiley |
Graduate capabilities & intended learning outcomes
01. Appreciate the importance of visualisation as a means to address information overload for managers and consumers of analytics
- Activities:
- Lectures and workshops
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Apply the visualisation framework in a variety of business problems
- Activities:
- Lectures, workshops and assignments
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Apply the appropriate visualisation technique for a variety of business problems
- Activities:
- Lectures, workshops and assignments
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Use the appropriate tools to visualise the data and analytical results for each given user requirement
- Activities:
- Lectures, workshops and assignments
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Articulate the various visualisation decisions across the entire solution process for a given problem
- Activities:
- Lectures, workshops and assignments
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Speaking)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
City Campus, 2017, Semester 2, Night
Overview
Online enrolment: Yes
Maximum enrolment size: 70
Enrolment information: Limits of learning space Order of application
Subject Instance Co-ordinator: Kok-Leong Ong
Class requirements
Lecture/WorkshopWeek: 31 - 43
One 3.0 hours lecture/workshop per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Report, recent developments in visualisation techniques | 20 | 01 | |
| Assignment, quantitative and descriptive visualisation design | 40 | 02, 03, 04, 05 | |
| Assignment, advanced visualisation design | 40 | 02, 03, 04, 05 |