CONTACT CSU

No offerings have been identified for this subject in 2015

ITC569 Modelling and Decision Support (8)

Abstract

This subject provides a practical introduction to the theory and practice of decision support systems for use in management, research and decision making. The subject aims to guide students in how to process large data sets. Major topics include modelling, prediction, optimisation, problem solving, visualisation and the analysis of such data sets.

+ Subject Availability Modes and Location

Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: ITC569
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Computing and Mathematics

Assumed Knowledge

ITC4%%

Enrolment restrictions

Students who have passed ITC215 can not enrol in ITC569
Incompatible subject(s)
ITC215

Learning Outcomes

Upon successful completion of this subject, students should:
- be able to apply the basic principles, paradigms and methods of modelling;
- be able to locate, access and use large data set available on-line;
- ba able to identify and use approporiate software for the analysis of large data sets;
- be able to apply basic mathematical functions to analyse large data sets;
- be able to interpret the results from data analysis conducted; and
- be able to apply the knowledge gained to real life situations.

Syllabus

The subject will cover the following topics:
- Modelling principles,
- Research methods
- Data and Software Resources ( including use of 3GL or 4GL software applications)
- Major classes of problems - Visualization - principles, graphical methods, data reduction
- Problem-solving
- Use of scripts and macros
- Case studies

Back

The information contained in the 2015 CSU Handbook was accurate at the date of publication: 01 October 2015. The University reserves the right to vary the information at any time without notice.