University of Technology Sydney

42098 Applied Data Visualisation

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Subject handbook information prior to 2025 is available in the Archives.

UTS: Information Technology: Computer Science
Credit points: 2 cp
Result type: Grade and marks

Requisite(s): 32146 Data Visualisation and Visual Analytics

Description

In this subject, students learn to develop data visualisations that support the creation and presentation of data driven stories. Students consider approaches to narrative development and how interactive data visualisation techniques can enable users to explore data within the context of a broader narrative arc. The potential of technologies such as real-time 3D game engines and new audio-visual hardware to support innovative forms of collaborative and immersive visualisations are also explored.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:

1. Design and create data visualisations for particular social contexts that are appropriate for specific users. (C.1)
2. Design and create data visualisations that facilitate the discovery and presentation of data-driven stories. (C.1)

Course intended learning outcomes (CILOs)

This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):

  • Design Oriented: FEIT graduates apply problem solving, design thinking and decision-making methodologies in new contexts or to novel problems, to explore, test, analyse and synthesise complex ideas, theories or concepts. (C.1)

Teaching and learning strategies

Microcredential presentation includes weekly synchronous one-hour online workshops facilitated by an expert UTS academic(s) supporting self-study and online (LMS) learning activities. Case studies of real-world organisations illustrate applications of data visualisation techniques. The workshop sessions focus on hands-on experience creating data visualisations guided by the real world case studies, and critically evaluating the results. Regular formative quizzes and questions throughout the semester will allow learners to gauge their progress.

Content (topics)

  1. Spatial and temporal data visualisation
  2. Text visualisation
  3. Interactive, narrative-driven data visualisations

Storytelling with data

Assessment

Assessment task 1: Create an interactive data visualisation that enables users to discover and communicate data-driven stories

Intent:

Develop the ability to create data visualisations that support data-driven narratives

Objective(s):

This assessment task addresses the following subject learning objectives (SLOs):

1 and 2

This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs):

C.1

Type: Report
Groupwork: Individual
Weight: 100%
Length:

2,000 words

Minimum requirements

In order to pass the subject, a student must achieve an overall mark of 50% or more.