BUS5650

Business applications of neural networks

(IT)

K A Smith

6 points + 2-hour lecture and 1-hour tutorial per week + First and summer semesters + Clayton

Synopsis: The use of suitable neural network architectures and convergence issues with reference to practical business problems with the use of commercially available neural network software. Applications from marketing, business data classification, finance and investment, character recognition, operations/project management and managerial decision making.

Assessment: Examination (2 hours): 50% + Practical work (assignment): 30% + Mid-semester test: 20% + Students must pass the examination in order to pass the subject