1. The artificial neuron and its learning. 2. Supervised learning neural networks. 3. Back propagation algorithm. 4. Feedforward multilayer ANN. 5. Approximation theorem of ANN. 6. Genetic algorithms. 7. Travelling salesman problem and applications of computational intelligence methods in finance and engineering.

CILO-1: Demonstrate the basic principles and concepts of Computational Intelligence, including the Perceptron, feedforward multilayer artificial neural networks, backpropagation algorithms and evolutionary algorithms. CILO-2: Apply genetic algorithms to solve optimization problems. CILO-3: Demonstrate the structure and function of artificial neurons and their role in artificial neural networks.