VISUAL ANALYTICS
BUS5VA
2021
Credit points: 15
Subject outline
As data becomes ever more complex to analyse, the need for tools to help integrate the user's knowledge and inference capability into the analytical process becomes important. In analytics, this is generally referred to as visualisation, which this subject will cover in detail from various perspectives, for example, 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, and real-time reporting. These applications will be discussed with reference to various visual analytics frameworks and theories as well as case examples.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorJojo Wong
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesLectures, workshops and assignments.
Capstone subjectNo
Subject particulars
Subject rules
Prerequisites Students must have completed (BUS5PB or BUS5DWR) or Students must be admitted in one of the following courses: SMDS, HMSA, HGSA
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Quota Management StrategyMerit based quota management
Quota-conditions or rulesBy the order of application to subject coordinator.
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Effective Data Visualization: The Right Chart for the Right Data
Resource TypeBook
Resource RequirementRecommended
AuthorStephanie Evergreen
Year2019
Edition/Volume2nd
PublisherSAGE
ISBN9781544350882
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Tableau Your Data!: Fast and Easy Visual Analysis with Tableau Software
Resource TypeBook
Resource RequirementRecommended
AuthorMurray
Year2013
Edition/Volume1st
PublisherWiley
ISBN978 111 861 204 0
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions
Resource TypeBook
Resource RequirementRecommended
AuthorSimon
Year2016
Edition/Volume1st
PublisherWiley
ISBN9781118858349
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
City Campus, 2021, Semester 1, Night
Overview
Online enrolmentYes
Maximum enrolment size120
Subject Instance Co-ordinatorJojo Wong
Class requirements
Lecture/WorkshopWeek: 10 - 22
One 3.00 hours lecture/workshop per week on weekdays at night from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
One individual Assignment, Critical evaluation of visualisation techniques (1000 words) | Assignment | Individual | No | 20 | SILO1, SILO3 |
One individual Assignment, Quantitative and descriptive visualisation design (2000 words) | Assignment | Individual | No | 40 | SILO2, SILO3, SILO4, SILO5 |
One individual Assignment, Advanced visualisation design (2000 words) | Assignment | Individual | No | 40 | SILO2, SILO3, SILO4, SILO5 |
City Campus, 2021, Semester 2, Night
Overview
Online enrolmentYes
Maximum enrolment size120
Subject Instance Co-ordinatorJojo Wong
Class requirements
Lecture/WorkshopWeek: 31 - 43
One 3.00 hours lecture/workshop per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
One individual Assignment, Critical evaluation of visualisation techniques (1000 words) | Assignment | Individual | No | 20 | SILO1, SILO3 |
One individual Assignment, Quantitative and descriptive visualisation design (2000 words) | Assignment | Individual | No | 40 | SILO2, SILO3, SILO4, SILO5 |
One individual Assignment, Advanced visualisation design (2000 words) | Assignment | Individual | No | 40 | SILO2, SILO3, SILO4, SILO5 |