Course Title: Advanced Topics in Artificial Intelligence

Part A: Course Overview

Course Title: Advanced Topics in Artificial Intelligence

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
COSC1159	City Campus	Undergraduate	140H Computer Science & Information Technology	Face-to-Face	Sem 1 2011, Sem 2 2011, Sem 1 2014
COSC1500	City Campus	Postgraduate	140H Computer Science & Information Technology	Face-to-Face	Sem 1 2014

Course Coordinator: Prof. Lin Padgham

Course Coordinator Phone: +61 3 9925 3214

Course Coordinator Email: lin.padgham@rmit.edu.au

Pre-requisite Courses and Assumed Knowledge and Capabilities

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.

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

 

Course Description

To explore various research areas in the field of Artificial Intelligence and to report the recent advancement in the selected topics.

Objectives/Learning Outcomes/Capability Development

This course contributes to the development of the following Program Learning Outcomes:

PLO1: Knowledge - Apply a broad and coherent set of knowledge and skills for developing user-centric computing solutions for contemporary societal challenges.

PLO2: Problem Solving - Apply systematic problem solving and decision-making methodologies to identify, design and implement computing solutions to real world problems, demonstrating the ability to work independently to self-manage processes and projects.

PLO4: Communication - Communicate effectively with diverse audiences, employing a range of communication methods in interactions.to both computing and non-computing personnel.

The course aims to give an understanding of the research areas of Artificial Intelligence by means of reading and discussing a selection of research papers. This course will also provide basic skills for conducting literature review in a certain area, summarizing selected research articles, analyzing strength and weakness of different methodology and presenting a survey.

Overview of Learning Activities

This is a seminar course in which students will be reading the research articles relevant to the AI topics that they select. They will discuss these articles with their supervisors and the classmates and write reports based on their discussion and analysis.

Overview of Learning Resources

This course runs in seminar style. Students will be assigned to individual supervisors based the areas they select. A list of topics and associated readings will be provided. They will be expected to read and analyse these readings provide a short summary each week. Students will be expected to explore the publication recourses and to identify relevant articles for reading.
Classes will be in the form of discussion – individual? Small-groups? Whole group?
Outside of scheduled class time, students will learn to explore relevant research reading materials and to write summary.

Overview of Assessment

The assessment for this course consists of written summaries of reading material, an evaluation of participation, at least one review/survey paper and a presentation.