IM60002: Advanced Decision Modelling
| IM60002 | |||||||||||||||||||||||||
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| Course name | Advanced Decision Modelling | ||||||||||||||||||||||||
| Offered by | Industrial & Systems Engineering | ||||||||||||||||||||||||
| Credits | 4 | ||||||||||||||||||||||||
| L-T-P | 3-1-0 | ||||||||||||||||||||||||
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| Semester | Spring | ||||||||||||||||||||||||
Syllabus
Syllabus mentioned in ERP
Non-Linear Programming: Classical Optimization Methods, Properties of functions. Univariate and Multi-variate search techniques, Kuhn Tucker conditions, Quadratic and Separable Programming methods, Stochastic and Fuzzy Optimisation.Dynamic Programming: Principle of Optimality, Concepts of state and stage, Solution of Discrete Problems through Backward Dynamic Programming, Continuous and Multi-stage Dynamic programming problems, Stochastic Dynamic Programming Problems.Stochastic Processes: Description of state, Transition probability matrix, Ergodic Properties, First passage time, etc., Markov Decision Process, Markov Decision Problems, Policy Improvement Scheme.Queueing Theory: Definitions and Classification, Birth and Death Process, Markovian and Semi-Markovian Single- and Multiple-Server Queues, Queuing Networks.Discreteevent Simulation: Time-flow mechanisms, Random Number and Random Deviate generation, Simulation of Queuing and Inventory Systems, Validation of Simulation Models, Sampling of Simulation outputs and Statistical Inferences, Variance Reduction Techniques.Books1.Operation Research- Principles and Practice, Ravindran, Phillip, Solberg, Wiley 2.Operation Research- An Introduction, Taha, PHI 3.Operation Research, Hillier and Lieberman