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1. General concept of signals and systems
2. Fundamentals of Artificial Neural Nets and comparisons with Biological neorons
3. Types of the neuraş nets and learning algorithms
4. Back Propagation Aşgorithm
5. Recurrent Neural Nets
System Identification and modelling of the Stochastic processes
6. Various neura net topologies for system modelling
7. AR Modelling
8. ARMA modelling
9. Classical controllers
10. Neuro Controller design and applications
11. Self Tuning Neuro Controler for linear and nonlinear s |