G5AIAI - Introduction to Artificial Intelligence

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)

Course Introduction


Welome to the Introduction to Artificial Intelligence course. This first page introduces you to the course, lets you know what to expect and how to get the most from the course.

You will have to take responsibility for some of your own learning. To allow for this, some of the lectures have been removed but you will be expected to read some material that I provide. This element of the course will be examinable, so please do not ignore it.


During the course, you will be directed towards a number of textbooks. Details of the books that you will use can be found here.


Assessment Method

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

"You are expected to answer one of the two questions from section A and three of the five questions from section B"

I will confirm the exact rubric later in the course.

However, I will only mark four questions. Unlike some other exams, you cannot answer as many questions as you like and be given marks for the best four questions.

The remainder of the marks (25%) are given for a piece of coursework. The coursework assignment for this years course is not yet available, but you can see the type of courseworks that have been set in previous years by looking here.


The dates for the lectures are as follows (but are subject to change, so keep an eye on this page).

  1. Lecture 1 : 13:00 Monday 3rd Oct 2005: CTF-LT2 (Introductory Lecture)
  2. Lecture 2 : 11:00 Friday 7th Oct 2005: CTF-LT3 (No Lecture)

  3. Lecture 3 : 13:00 Monday 10th Oct 2005: CTF-LT2
  4. Lecture 4: 11:00 Friday 14th Oct 2005: CTF-LT3

  5. Lecture 5: 13:00 Monday 17th Oct 2005: CTF-LT2
  6. Lecture 6: 11:00 Friday 21st Oct 2005: CTF-LT3

  7. Lecture 7: 13:00 Monday 24th Oct 2005: CTF-LT2
  8. Lecture 8: 11:00 Friday 28th Oct 2005: CTF-LT3 (No Lecture)

  9. Lecture 9: 13:00 Monday 31st Oct 2005: CTF-LT2 (No Lecture)
  10. Lecture 10: 11:00 Friday 4th Nov 2005: CTF-LT3

  11. Lecture 11 : 13:00 Monday 7th Nov 2005: CTF-LT2
  12. Lecture 12: 11:00 Friday 11th Nov2005: CTF-LT3 (No Lecture)

  13. Lecture 13 : 13:00 Monday 14th Nov 2005: CTF-LT2 (No Lecture)
  14. Lecture 14: 11:00 Friday 18th Nov 2005: CTF-LT3 (No Lecture)

  15. Lecture 15: 13:00 Monday 21st Nov 2005: CTF-LT2
  16. Lecture 16: 11:00 Friday 25th Nov 2005: CTF-LT3

  17. Lecture 17: 13:00 Monday 28th Nov 2005: CTF-LT2 (No Lecture)
  18. Lecture 18: 11:00 Friday 2nd Dec2005: CTF-LT3

  19. Lecture 19: 13:00 Monday 5th Dec 2005: CTF-LT2
  20. Lecture 20: 11:00 Friday 9th Dec 2005: CTF-LT3 (No Lecture)

Please note these very important points.



There are a number of powerpoint presentations in this course. You are welcome to download them and look at them locally within powerpoint itself. I did try and save them as HTML so they could be viewed in a web browser but I do not have the confidence that every browser will cope with the files.

Taking this Course

This course has been spilt into six sections

Introduction (which you are reading now).

  1. Introduction
  2. History of AI
  3. Blind Searches
  4. Heuristic Searches
  5. Game Playing
  6. Neural Networks


Thinking Ahead

If you enjoy the AI aspect of computer science then you might like to consider doing your third year dissertation in this area (unfortunately, you have no choice as to the subject of your second year group project). Many of the academic staff in CS&IT supervise third year projects that have an AI element, but if you are interested in seeing the sort of projects I have supervised and the ideas I have for future projects then take a look at this.


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