Report 1

Report 2

Introduction to AI including definitions.
Knowledge based systems: knowledge acquisition and representation, construction, operation, forward and backward chaining.
Neural nets: overview of network architectures and learning schemes, perceptron learning, multi-layer perceptron and backpropagation, implementation.
Evolutionary Computing (introduction), principles, data coding, fundamental operations, Basic GA, Bee Algorithm, etc.
Case studies will illustrate the application and performance of AI methods in
Engineering and technology, e.g. modelling of systems and signals; pattern recognition; image processing.

AI and Machine Learning - 5174CSD

AI and Machine Learning

Apply simulation tools to develop a realistic small fuzzy logic system.

Apply AI and knowledge based systems to design technology applications.

Apply the fundamental principles of evolutionary computation to develop machine learning and AI systems.