This course is run at the The University of Nottingham within the School of Computer Science & IT. The course is run by Graham Kendall (EMAIL : gxk@cs.nott.ac.uk)
Welome to the Artificial Intelligence Methods course. This first page introduces you to the course, lets you know what to expect and how to get the most from the course.
The course has been designed so that you have additional course material, other than lectures, in order to help you learn and understand the material. This includes videos, previous exam papers with suggested answers, a bulletin board and a set of self-assessment quizzes that allows you to judge how you are progressing. There will not be the usual "two lectures a week", but rather "key note" lectures to point you in the right direction. Having said that, I plan to do between 10 and fifteen lectures so you don't feel as if I am abandoning you. The provisional lecture schedule can be seen below.
The main web site for this course will be available from my home page.
If you are only interested in the web material then you don't have to register to use WebCT but, if you want to take advantage of the bulletin board and the on-line self-assessment then you need to register to use WebCT. To do this see the frequently asked questions.
This course is examined by a two hour examination, which accounts for 75% of the marks. Please note that the rubric for the exam will read something like this
"Marks will be awarded for the first FOUR questions in the answer book. Clearly cross through any questions that you do NOT wish to be considered and ensure you state on the front of the answer book the FOUR questions you have attempted."
That is to say, if you answer five or six questions I will only mark four. Unlike some other exams, you cannot answer as many questions as you like and be given marks for the nest four questions.
The remainder of the marks (25%) are given for a piece of couresework.
As part of this course, I have compiled a number of academic papers which you are expected to read. They are listed here for your convinience.
Mon
|
Tue
|
Wed
|
Thu
|
Fri
|
26th Jan |
27th Jan
|
28th Jan
|
29th Jan
Lecture (CTF-LT3) |
30th Jan
|
2nd Feb |
3rd Feb
|
4th Feb
|
5th Feb
Lecture (CTF-LT3) |
6th Feb
|
9th Feb |
10th Feb
|
11th Feb
|
12th Feb
NO Lecture |
13th Feb
|
16th Feb |
17th Feb
|
18th Feb
|
19th Feb
NO Lecture |
20th Feb
|
23rd Feb |
24th Feb
|
25th Feb
|
26th Feb
Lecture (CTF-LT3) |
27th Feb
|
1st Mar
NO Lecture |
2nd Mar
|
3rd Mar
|
4th Mar
NO Lecture |
5th Mar
|
8th Mar |
9th Mar
|
10th Mar
|
11th Mar
Lecture (CTF-LT3) |
12th Mar
|
15th Mar |
16th Mar
|
17th Mar
|
18th Mar
NO Lecture |
19th Mar
|
Easter Break
|
||||
19th Apr
Lecture (CTF-LT2)
|
20th Apr
|
21st Apr
|
22nd Apr |
23rd Apr
|
26th Apr |
27th Apr
|
28th Apr
Coursework Due In
|
29th Apr |
30th Apr
|
3rd May |
4th May
|
5th May
|
6th May
NO Lecture |
7th May
|
Mon
|
Tue
|
Wed
|
Thu
|
Fri
|
Last Updated : 26/01/2002