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...)
