G52AIM: Artificial Intelligence methods (Lecture Schedule)
This is the lecture schedule page for the Artificial Intelligence Methods course which is run by The School of Computer Science at the University of Nottingham. The course is a optional course for the final year (3rd year) of our Computer Science degree (UCAS Code G400). It is also an optional course for a variety of other degree courses.
Lecture Schedule
The lectures schedule below is representative of the schedule. Please DO NOT plan your attendance at the lectures based on this schedule as it may change slightly. You are advised to attend all lectures.
- Fri 29th Jan (15:00 - 17:00): Lecture 1 & 2 (JC-BSSOUTH-A26) (Introduction and Local Search - see Dr. Qu's AIM page)
- Fri 5th Feb (15:00 - 17:00): Lecture 3 & 4(JC-BSSOUTH-A26) (Simulated Annealing and Constructive Methods - see Dr. Qu's AIM page)
- Fri 12th Feb (15:00 - 17:00): Lecture 5 & 6 (JC-BSSOUTH-A26) (Tabu Search and Algorithm Design Issues - see Dr. Qu's AIM page)
- Fri 19th Feb (15:00 - 17:00): Lecture 7 & 8 (JC-BSSOUTH-A26) (Genetic Programming)
- Fri 26th Feb (15:00 - 17:00): Lecture 9 & 10 (JC-BSSOUTH-A26) (Variable Neighbourhood Search and Coursework - see Dr. Qu's AIM page)
- Fri 5th Mar (15:00 - 17:00: Lecture 11 & 12 (JC-BSSOUTH-A26) (Genetic Algorithms)
- Fri 12th Mar (15:00 - 17:00): Lecture 13 & 14 (JC-BSSOUTH-A26) (Case Study - see Dr. Qu's AIM page)
- Fri 19th Mar (15:00 - 17:00): Lecture 15 & 16 (JC-BSSOUTH-A26) (Ant Algorithms)
- Fri 26th Mar (15:00 - 17:00): Lecture 17 & 18 (JC-BSSOUTH-A26) (Hyperheuristics)
- Fri 2nd-30th Apr: No Lectures (Easter Break)
- Fri 7th May (15:00 - 17:00): Lecture 19 & 20 (JC-BSSOUTH-A26) (Case Study)