To understand definition, scope, objectives, phases, models & limitations of operations research. To understand different application areas of operations research like transportation problem, assignment model, sequencing models, dynamic programming, game theory, replacement models & inventory models. Formulate simple reasoning, learning and optimization problems, in terms of the representations and methods presented. Manipulate the basic mathematical structures underlying these methods, such as system state, search trees, plan spaces, model theory, propositional logic, constraint systems, Markov decision processes, decision trees, linear programs and integer programs. Demonstrate the hand execution of basic reasoning and optimization algorithms on simple problems. Formulate more complex, but still relatively simple problems, and apply implementations of selected algorithms to solve these problems. Evaluate analytically the limitations of these algorithms, and assess tradeoffs between these algorithms.
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