Subject description
This subject addresses the principles and techniques of information visualization in Decision Support Systems. The first half of the subject focuses broadly on information visualization, as well as on aspects of design, composition, and interactivity in information visualization to give students the understanding of visual information representation in decision support … For more content click the Read More button below.
This subject equips students with the knowledge of information visualization and the skills to appropriately design informative dashboards for practical decision support applications.
Enrolment rules
Pre-Requisite
Equivalence
CSIT422 - Information Visualisation and Decision Support
Tutorial enrolment
Students can enrol online via the Tutorial Enrolment link in SOLS
Delivery
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Teaching staff
Subject coordinators
Engagement hours
Contact Hours:Lectures 2hrs and Laboratories/Workshops 2 hrs per week.
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Design effective dashboards for decision support.
2.
Demonstrate an understanding of the role of risk, robustness, and sensitivity analysis in decision support systems.
3.
Evaluate and select data mining approaches in decision support systems.
4.
Apply information interpretation techniques to support in decision support systems.
5.
Integrate the knowledge of skills learned in this subject to formulate and resolve practical applications to decision support.
Assessment details
Group Assignment
Lab tasks
Quizzes
Final exam
Work integrated learning
Foundational WIL:This subject contains elements of "Foundational WIL". Students in this subject will observe, explore or reflect on possible career pathways or a work-related aspect of their discipline.
Textbook information
- Andy Kirk, Data Visualisation: A Handbook for Data Driven Design', 2nd edition (2019); http://book.visualisingdata.com
- Ramesh Sharda et al., Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition, 11th Edition (2020)