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Unit of Study ISY10056 - Intelligent Decision Systems (2014)

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Unit Snapshot

  • Enrolment information

    N/A

Unit description

Introduces students to intelligent decision systems used in organisations. We will primarily focus on expert systems (ES) and decision support systems (DSS). Topics include decisions and decision making, decision support systems and expert systems, development approaches, artificial neural networks, and some cutting edge intelligent technologies.

Unit content

1. Decision support systems and business intelligence

2. AI and expert systems

3. Expert systems (ES): Development, justification and dependency diagrams

4. ES: Knowledge acquisition, representation, reasoning and chaining

5. ES: Uncertainty and confidence factors

6. Decision Support Systems (DSS) Overview

7. DSS modelling, analysis and business intelligence

8. Artificial neural networks (ANN)

9. Collaboration and knowledge management

10. Advanced IDS: Case Based Reasoning (CBR) and Genetic Algorithms (GA) & Fuzzy Logic

11. Advanced IDS: Intelligent Agents

12. Implementing DSS, BI and Integration, impacts & future issues

Availabilities

Location Domestic International
Coffs Harbour Session 1 Session 1
Gold Coast Session 1 Session 1
Hong Kong N/A Session 1
Online Session 1 Session 1

Learning outcomes and graduate attributes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
Learning outcome count Learning outcome description GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 identify and discuss different decision types and the process of decision making and their relevance to decision support
2 describe, discuss and compare the components, characteristics and uses of expert systems, especially the application of knowledge engineering principles to the creation of knowledge bases
3 identify and apply the appropriate technology, development methodology and current tools for both ES and DSS requirements
4 identify and discuss the application of neural networks, fuzzy logic and genetic algorithms to DSS
5 describe, discuss, and compare cutting-edge intelligent technologies and analyse problem situations to recommend which technology (or technologies) are best suited
6 describe and discuss implementation, societal and organisational impacts.

On completion of this unit, students should be able to:

  1. identify and discuss different decision types and the process of decision making and their relevance to decision support
    • GA1:
    • GA4:
    • GA5:
  2. describe, discuss and compare the components, characteristics and uses of expert systems, especially the application of knowledge engineering principles to the creation of knowledge bases
    • GA1:
    • GA4:
    • GA5:
  3. identify and apply the appropriate technology, development methodology and current tools for both ES and DSS requirements
    • GA1:
    • GA4:
    • GA5:
  4. identify and discuss the application of neural networks, fuzzy logic and genetic algorithms to DSS
    • GA1:
    • GA4:
    • GA5:
  5. describe, discuss, and compare cutting-edge intelligent technologies and analyse problem situations to recommend which technology (or technologies) are best suited
    • GA1:
    • GA4:
    • GA5:
  6. describe and discuss implementation, societal and organisational impacts.
    • GA1:
    • GA4:
    • GA5:
    • GA7:

Prescribed learning resources

Prescribed Texts
  • No prescribed texts.

Prescribed Learning Resources may change in future Teaching Periods.