School of IT

ICT619 Intelligent Systems
Semester 2, 2007

ICT619 Intelligent Systems Unit Information

Unit Coordinator and Lecturer

Textbook

Negnevitsky, M. Artificial Intelligence: A Guide to Intelligent Systems. 2nd Edition.

Missed out getting one from the bookshop? Try ordering from Amazon.com

Notice Board

(Please read this notice board regularly for the latest news.)
(Click on "Refresh" or "Reload" to read the latest notices)

28-9-07. Since we didn’t really get a chance to have a look at the second ANN lecture (Topic 4B) in last night’s class, I’ll ask you to have a look at it during the break.

27-9-07. I’ve received project proposals from most of you already and replied - if not, I will see you today. Most of the projects looks feasible, but in a few cases I needed to see more detail on exactly what the problem was, where the knowledge was going to come from and what method and tool was going to be used.

13-9-07. If you haven’t already, please get your one-page project proposal to me as soon as possible.

13-9-07. Please note that there will be no class on 20th September (next week). However, we will still cover all the material on Neural Networks.

30-8-07. I hope you are actively thinking about your project. The are only 11 more weeks in the semester (counting the non-teaching weeks) and that is a not much time for any kind of software project, let alone an AI project. So think hard about what problem you will tackle and which technology you will apply to do it. And let me see a one-page statement by Week 6 at the latest. It would be a good idea to give it to me before that if you are able. You don’t need to stick to technologies we have discussed so far - you can look ahead and study neural networks, genetic algorithms or data mining methods as well.

8-8-07. Hi there! I hope you enjoy studying artificial intelligence through its applications in business. The lecture slides and labs will be posted as we go along to allow for last minute touches, but they will usually be finished by the time each lecture is run. Please be patient if some software or document is not available (but phone or email me if you spot some problem). To get ready for the unit make sure you have the textbook.

Lecture Schedule

Time	Location	Lecturer
Thursdays 4:30-7:30	LB 4.008	Graham Mann

(These notes could change as we go through the
semester, so download them as late as you can.)

2nd Semester Week	Week beginning	Title	Assignments	Due Date
Week 1	9 August	Topic 1. Introduction to Intelligent Systems
Week 2	16 August	Topic 2. Rule-Based Systems
Week 3	23 August	Topic 2. Rule-Based Systems (con’t)
Week 4	30 August	Topic 3. Fuzzy Systems
	6 September	Non-teaching week
Week 5	13 September	Topic 3. Fuzzy Systems (con’t)
Week 6	20 September	Topic 4. Neural Computing
Week 7	27 September	Topic 4. Neural Computing (con’t)
	4 October	Non-teaching week
Week 8	11 October	Topic 5. Genetic Algorithms
Week 9	18 October	Topic 6. Data Mining
Week10	25 October	Topic 7. Case-Based Reasoning
Week11	1 Novemberber	Topic 8. Intelligent Software Agents
Week12	8 November	Topic 9. Lanaguage Technology; Review	Project	9 November 2007