VISUAL ANALYTICS
BUS5VA
2020
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.
School: La Trobe Business School (Pre 2022)
Credit points: 15
Subject Co-ordinator: Jojo Wong
Available to Study Abroad/Exchange Students: Yes
Subject year level: Year Level 5 - Masters
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
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-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Quota Management Strategy: Merit based quota management
Quota-conditions or rules: By the order of application to subject coordinator.
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Learning resources
The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions
Resource Type: Book
Resource Requirement: Recommended
Author: Simon
Year: 2014
Edition/Volume: N/A
Publisher: Wiley
ISBN: 978 111 879 438 8
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Effective Data Visualization: The Right Chart for the Right Data
Resource Type: Book
Resource Requirement: Recommended
Author: Stephanie Evergreen
Year: 2016
Edition/Volume: N/A
Publisher: SAGE
ISBN: 978-1506303055
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Tableau Your Data!: Fast and Easy Visual Analysis with Tableau Software
Resource Type: Book
Resource Requirement: Recommended
Author: Murray
Year: 2013
Edition/Volume: N/A
Publisher: Wiley
ISBN: 978 111 861 204 0
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
City Campus, 2020, Semester 2, Night
Overview
Online enrolment: Yes
Maximum enrolment size: 120
Subject Instance Co-ordinator: Jojo 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) | N/A | N/A | No | 20 | SILO1, SILO3 |
One individual Assignment, Quantitative and descriptive visualisation design (2000 words) | N/A | N/A | No | 40 | SILO2, SILO3, SILO4, SILO5 |
One individual Assignment, Advanced visualisation design (2000 words) | N/A | N/A | No | 40 | SILO2, SILO3, SILO4, SILO5 |