Course Title: Intelligent Agents and Agent Oriented Systems

Part A: Course Overview

Course Title: Intelligent Agents and Agent Oriented Systems

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

COSC1163

City Campus

Postgraduate

140H Computer Science & Information Technology

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011

COSC1164

City Campus

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011

Course Coordinator: Dr. Lawrence Cavedon

Course Coordinator Phone: +61 3 9925 2325

Course Coordinator Email: lawrence.cavedon@rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

You may not enrol in this course unless it is explicitly listed in your enrolment program summary, and you have confirmed with your program coordinator that it is an appropriate choice for your study plan.

Students are expected to have a sound understanding of artificial intelligence techniques and the fundamentals of computing before commencing this course. These include planning, knowledge representation, advanced search techniques, and heuristic approaches to problem solving. Completion of the following course (or equivalent) will satisfy the pre-requisite requirements.
• COSC1125/1127 Artificial Intelligence

Disclaimer: This seminar-mode course will run only if there are sufficient enrolments by the beginning of the relevant semester. If it is cancelled, you will be advised to choose a suitable alternative course.


Course Description

To present both the theoretical foundations as well as the practical aspects of agents and agent systems.


Objectives/Learning Outcomes/Capability Development

The capabilities that are developed through the program in which students are enrolled are described in the Program Guide.
This course contributes to the development of the following capabilities: Enabling Knowledge, Critical Analysis, and Communication.


The course aims to give an understanding of the research area of intelligent agents by means of reading and discussing a selection of research papers as well as briefly investigating at least one implemented system for agent programming.


Overview of Learning Activities

This course will be run in a seminar mode where articles are discussed and analysed. In addition to developing knowledge of the content area students will develop skills in critical reading of research literature and in synthesising and comparing approaches to problems.

Students will be expected to participate actively in the discussions, and to take it in turn to lead the discussions. Discussion leadership will involve preparation of focus questions as well as leading of the discussion in class.


Overview of Learning Resources

Students will make extensive use of computer laboratories and relevant software provided by the School.
Lists of relevant textbooks, reference texts, resources in the Library and relevant internet sites will be provided.


Overview of Assessment

The assessment for this course consists of written summaries of reading material, an evaluation of participation in and leading class discussions, a short review paper and a major assignment.

For standard assessment details, including deadlines, weightings, and hurdle requirements relating to Computer Science and IT courses see: http://www.rmit.edu.au/compsci/cgi