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CIS8025 Big Data Visualisation

Semester 1, 2022 Toowoomba On-campus
Units : 1
Faculty or Section : Faculty of Business, Education, Law and Arts
School or Department : School of Business
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Examiner:

Requisites

Enrolment is not permitted in CIS8025 if CIS8701 has been previously completed.

Overview

Data has become an important resource for organisations. Many thousands of terabytes of data come into organisations daily through transactional data, sensor networks and social media. IT professionals increasingly working in multidisciplinary teams have the responsibility of communicating this data effectively to the key stakeholders in organisations. Drawing on data visualisation theory, concepts and design and the use if advanced data visualisation tools, big data can be presented into visual form for quick and easy comprehension so that accessible and readily discernible evidence can drive the decision-making process within an organisation.

This course provides students with a sound grounding in data visualisation theory, concepts and design. Students will develop the knowledge and skills to apply best practice principles in the design and implementation of data visualisation applications that utilise big data in ways that inform decision making for organisations. The course requires student to apply fundamental and advanced aspects of data visualisation theory and design principles as well as the methods and techniques for creating user-oriented data visualisation solutions using a data visualisation tool. Students will implement, through a hands-on team project, elements of sound data visualisation design, while developing an appreciation of the ethical considerations and need for strong policy to protect the privacy and security of citizens' data.

Course learning outcomes

On successful completion of this course students should be able to:

  1. synthesize academic and professional knowledge of data visualisation theory, concepts and design principles;
  2. assess and adapts contemporary and innovative data visualisation approaches to gain insight and value that support effective data-driven decision-making;
  3. appraise and present complex and big data in visual from that is readily understandable by specialist and non-specialist audiences using data visualisation methods tools and techniques;
  4. interact and collaborate effectively in teams to design and implement data visualisation project;
  5. articulate and explain ethical dilemmas with regard to privacy and security concerns that may arise in data visualisation projects.

Topics

Description Weighting(%)
1. Data visualisation theory, concepts and design 20.00
2. Data visualisation approaches, methods and techniques 30.00
3. Ethical issues of security and privacy of data visualisation 10.00
4. Team based approach using a data visualisation tool to implement data visualisation project 30.00
5. Impact of data visualisation on business decision-making 10.00

Text and materials required to be purchased or accessed

Wexler, S., Shaffer, J. & Cotgreave, A 2017, The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios,, 1st edn, Wiley and Sons, Hoboken, New Jersey.
(ISBN 978 11192 82716.)

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Description Weighting (%) Course learning outcomes
ASST 1 15 1,3,4
ASST 2 35 2,3,4
ASST 3 50 2,3,4,5
Date printed 10 February 2023