Decision Sciences : MBA-103

Lecture No. Description Lecture By
Lecture 1  Meaning & Approaches of Probability Theory Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 2  Addition & Multiplication Theorems Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 3  Conditional Probability Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 4  Bay’s Rule Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 5  Probability Distributions Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 6  Binomial Poisson Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 7  Normal Distributions Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 8  Application of Probability Theory in Business Decision making Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 9  Linear Programming-Meaning Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 10  Assumptions of Linear Programming Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 11  Formulation  of Linear Programming Model Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 12  Solution of Linear Programming Problem with the help of Graphical Method-1 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 13  Solution of Linear Programming Problem with the help of Graphical Method-2 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 14  Concept of Duality Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 15  Shadow Prices Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 16  Sensitivity Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 17  Application Sensitivity Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 18  Role LP in Economic Decision Making Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 19  Transportation Problem-Initial Basic Feasible Solution Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 20  Transportation Problem Test for Optimality Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 21  Degeneracy in Transportation Problem Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 22  Assignment Problems Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 23  Application of Assignment Problems Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 24  Travelling Salesman Model Problem Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 25  Decision Making under Certainty Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 26  Decision Making under Certainty & Risk Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 27  Decision Tree Analysis Overview Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 28  Application of Decision Tree Analysis Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 29  Game Theory-Pure Strategies Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 30  Game Theory-Mixed Strategies Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 31  Principle of Dominance Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 32  Solution of game theory problems with the help of graphical method-1 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 33  Solution of game theory problems with the help of graphical method-2 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 34  Solution of game theory problems with the help of simplex method Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 35  Meaning of Networking Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 36  Network Analysis with help of PERT Models Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 37  Network Analysis with help of CPM Models Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 38  Resource Planning Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 39  Meaning of Crashing Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 40  Queuing Theory – Meaning Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 41  Concept of Queuing Models Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 42  Assumptions of Queuing Models Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 43  M/M/1/FIFO-1 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 44  M/M/1/FIFO-2 Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 45  Simulation Modeling Lecture by Dr.Kanika Gupta,    Lecture by B,    Lecture by C,    Lecture by D