units

FIT5186

Faculty of Information Technology

Postgraduate - Unit

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

To find units available for enrolment in the current year, you must make sure you use the indexes and browse unit tool in the current edition of the Handbook.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedSuzhou First semester 2013 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Information Technology Systems with South East University, China

Synopsis

This unit introduces main techniques widely used in intelligent software systems to students in the Master of Information Technology Systems course with the Network Computing major. Specifically, it focuses on the techniques in relation to network structures. Main topics covered include neural network models, supervised learning and classification, unsupervised learning and clustering, fuzzy logic, intelligent decision analysis, optimum network flow modelling, and recommender systems.

Outcomes

On completion of this unit students will have a knowledge and understanding of:

  • the applications of intelligent software systems;
  • the principles and theoretical underpinning of intelligent software systems;
  • the models and approaches to building intelligent software systems;
  • the advantages and limitations of intelligent models and approaches for solving a wide range of practical problems;
  • different software toolkits and development environments;
  • current research trends in the field.

Assessment

Examination (3 hours): 70%; In-semester assessment: 30%

Chief examiner(s)

Contact hours

2 hrs lectures/wk, 2 hrs laboratories/wk

Prerequisites

Fundamental mathematics