Monash University Handbook 2010 Postgraduate - Unit

Synopsis

This is the foundation unit for the Intelligent Systems Specialisation. It introduces the main problems and approaches to designing intelligent software systems including automated search methods, reasoning under uncertainty, planning, software agents, recommender systems, machine learning paradigms, natural language processing, user modelling and evolutionary algorithms.

Objectives

At the completion of this unit students will have -
A knowledge and understanding of:

• the applications of intelligent software systems in the domains of Pervasive Computing, Web Services and Business Intelligence;
• the principles and theoretical underpinning of intelligent software systems;
• Models and approaches to building intelligent software systems;
• different software toolkits and development environments;
• current research trends in the field.

• foster critical and independent analysis of how intelligent techniques can be used to enhance software applications and the development of smart environments.

• design and develop of intelligent applications particularly in the domains of Pervasive Computing, Web Services and Business Intelligence;
• select and apply appropriate tools for a particular application.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Chief examiner(s)

Professor Geoff Webb

Contact hours

2 hrs lectures/wk, 2 hrs laboratories/wk

Prohibitions

CSE5610

Additional information on this unit is available from the faculty at:

http://www.infotech.monash.edu.au/units/fit5047/