Computational Modeling

Introduction to Computational Modeling, History, Motivation and Prospects; Modeling process, input modeling, Random Numbers and Distributions, Monte Carlo Methods; Discrete Event Modeling , Introduction to Markov Process, Queuing Theory; Continues Time Modeling, System Dynamic Modeling; Game Theoretic Modeling, Prisoner’s Dilemma, Nash Equation; Verification and Validation of Models; Verification and Validation Techniques; Data Driven Modeling ;Concept Learning and Decision, Classification and Clustering; Agent Based Modeling, Belief, Desire and Intension (BDI) , Multi-Agent System; Social Simulation , Social Dynamics, Complex Systems, Emergence.