A coursework weighted at 100% (learning outcomes 1, 2 and 3) comprising of:-

Assignment 1 (50%): The comparison and contrast of Neural Networks and Genetic Algorithms by asking students to use them to process related data (2000 words). This will address Learning outcomes 1 and 2.
Assignment 2 (50%): The application of AI techniques discussed (NNs, GAs and PR) in the discipline of Data/Text Mining (Final assignment - 2000 words). This will address Learning outcomes 2 and 3.

Two lectures per week for the first 6 weeks: total 12 lectures
One practical per week all semester: total 12 practicals
(1:n)1 (1:20)1

Luger, G.F., Artificial Intelligence, 6th Ed, Addison Wesley, 2009, ISBN: 978-0132090018
Russell, S. and Norvig, P., Artificial Intelligence - A Modern Approach, 3rd Ed, Pearson Education, 2010, ISBN: 978-0132071482

Prior study of AI Methods (CE00341-5) or Decision Theory and Cybernetics (CE00921-5)

This module will examine Neural Networks, Genetic Algorithms and Pattern Recognition techniques and consider the applications of these techniques to problems such as Data and Text Mining.

C/C++, JAVA development environments