Official NUC CCMAS syllabus
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Start studying ELE 405 free →Introduction: System, environment, input and output variables, State variables; Static and Dynamic systems; Hierarchy of knowledge about a system and Modeling Strategy. Physical Modeling: Dimensions analysis; Similarity criteria and their application to physical models. Modeling of System with Known Structure: Review of conservation laws and the governing equation for heat, mass and momentum transfer; Deterministic model; distributed parametre models; lumped parametre models in terms of differential and difference equations; state space model, transfer functions block diagram and sub systems, stability of transfer functions, modeling for control. Neural Network Modeling of Systems; Neurons, architecture of neural networks, knowledge representation, learning algorithm. Multilayer feed forward network and its back propagation learning algorithm, Application to complex engineering systems and strategy for optimum output. Modeling Based on Expert Knowledge; Fuzzy sets, Membership functions, Fuzzy Inference systems, Expert Knowledge and Fuzzy Models, Design of Fuzzy Controllers Optimisation and Design of Systems: Summary of gradient based techniques: Non-traditional Optimisation techniques (1) genetic Algorithm (GA)- coding, GA operations elitism, Application using MATLAB. Simulation of Engineering Systems; Monte-Carlo simulation, Simulation of continuous and discrete processes with
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study ELE 405.