NOC:Decision Modeling


Lecture 1 - Decision Analysis: Introduction (Repplace with the new one)


Lecture 2 - Payoff Matrix


Lecture 3 - Decision Making Under Risk


Lecture 4 - Value of Information


Lecture 5 - Probability Concepts


Lecture 6 - Bayes Theorem


Lecture 7 - Decision Tree


Lecture 8 - Decision Problem with Experimentation


Lecture 9 - Decision Problem with Experimentation (Continued...)


Lecture 10 - Decision Problem Example


Lecture 11 - Introduction to Waiting Lines


Lecture 12 - Poisson and Exponential Distribution


Lecture 13 - Birth and Death Process


Lecture 14 - M/M/1 Queing Model


Lecture 15 - Queuing Examples


Lecture 16 - Queuing Examples (Continued...)


Lecture 17 - M/D/1 and M/M/s Queuing Models


Lecture 18 - M/M/s and M/M/infinity Models


Lecture 19 - Finite Queue Space and Queuing Cost Models


Lecture 20 - Queuing Cost, Priority and Networking Models


Lecture 21 - Introduction to Simulation


Lecture 22 - Discrete-Event and Monte-Carlo Simulation


Lecture 23 - Pseudo random Numbers


Lecture 24 - Simulation Examples


Lecture 25 - Generation of Random Variates


Lecture 26 - Simulation Examples (Continued...)


Lecture 27 - Monte-Carlo Simulation and Output Analysis


Lecture 28 - Variance Reduction and Simulation Software


Lecture 29 - Continuous Simulation and System Dynamics


Lecture 30 - System Dynamics Example


Lecture 31 - Introduction to Graph Theory


Lecture 32 - Introduction (Continued...)


Lecture 33 - Operations on a Graph, Tree and Spanning Tree


Lecture 34 - Minimal Spanning Tree


Lecture 35 - Cutsets


Lecture 36 - Fundamental Circuits and Network Simplex Method


Lecture 37 - Maximal Flow Problems


Lecture 38 - Maximal Flow Problems (Continued...)


Lecture 39 - Shortest Path Problems


Lecture 40 - Shortest Path Problems (Continued...)