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Learning outcomes for the course
Upon completion of the course, the PhD-student shall be able to:
• frame a practical problem in to the general class of OR problems and within a decision framework,
• represent a practical problem as a linear programming problem,
• represent a practical problem as an integer programming problem,
• implement algorithms to solve linear and integer programming problems,
• classify problems into complexity classes according to the computational resources required to solve them exactly,
• identify and implement approximate (heuristic and stochastic) solution methods for attacking computationally intractable problems.