This course covers the fundamentals of the three basic components of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The course introduces feedforward neural networks and the backpropagation algorithm, radial-basis function networks, recurrent neural networks, fuzzy relations and fuzzy logic inference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals, evolutionary computation and optimization, evolutionary learning, and collective intelligence.