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| MA 42101 - Introduction To Optimization And Operations Research |
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Associated Term:
Fall 2022
Learning Outcomes: 1. Formulate real-world problems as appropriate mathematical programming models (for example, linear programming, network model, etc.). 2. Solve linear programming, network analysis, integer programming, Markov chains, and decision analysis problems by applying appropriate operations research techniques and algorithms. 3. Apply software for solving optimization problems. 4. Apply operations research techniques to real world contexts and interpret the results. Required Materials: Technical Requirements: |
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