UoN CS COL

Home Teaching Supervision Grants Publications Academics

Foundations of Artificial Intelligence (G64FAI)

Course Schedule

The textbooks of this module are as below. You can find a reading list of this module in our library. Here are Module Details and the Timetable.

  • Negnevitsky. Artificial intelligence : a guide to intelligent systems. Addison-Wesley, 2002.
  • Russell and Norvig Artificial intelligence : a modern approach. 2nd ed. Prentice Hall, 2003.
  • Cawsey and Alison. The essence of artificial intelligence. Prentice Hall, 1998.
  • Luger. Artificial intelligence : structures and strategies for complex problem solving. 5th ed. Addison-Wesley, 2005.
  • The lectures are on every Thursday and Friday 3pm-4pm at Business School Building South A24, Jubilee Campus.

    Thur/Fri 3-4pm
    Bus South A24
    Topic Comments
    2&3 Feb Course Introduction Introduction to AI AIMA: Chp 1, 26.1, 26.2
    9&10 Feb Neural Networks AIIS: Chp 6; AIMA: Chp 20.5
    16&17 Feb Data Mining AIIS: Sec 9.7
    23&24 Feb Problems State & Spaces AIMA: Sec 3.1-3.5
    1&2 Mar Search Methods AIMA: Sec 3.1-3.5
    8&9 Mar Genetic Algorithms AIIS: Chp 7
    15&16 Mar Knowledge Based Systems & Expert Systems Revision
    22 Mar Case Based Reasoning Revision
    29&30 Mar Game Playing  

    Recourses
  • AI on the Web.
  • ELIZA. Try this computer therapist.
  • Neural Netowork demos (from http://tralvex.com/pub/nap/): mask; pursuit & evasion 0, 200, 999, 999200; event recognition pred.
  • AI course lecture notes.
  • Any other interesting resources, please share them with the class by sending them to me.
  • Exam

    This module is assessed by 100% on exam. You need to answer FOUR out of 6 questions given in the exam. Please note clearly which questions are attempted.

    Calculators are permitted in this examination. Dictionaries are not allowed with one exception. Those whose first language is not English may use a standard translation dictionary to translate between that language and English provided that neither language is the subject of this examination. Subject specific translation dictionaries are not permitted. No electronic devices capable of storing and retrieving text, including electronic dictionaries, may be used.

    Previous exam papers can be found online at here.
    Feedback on 2010/11 exam.
    Feedback on 2011/12 exam.
    Please send any of your inquries, feedback will be given at either the lectures or mailing list Q&As.