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Optimization Methods to Make Effective Decisions


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About Course

Optimization holds an important place in both practical and theoretical worlds, as understanding the timing and magnitude of actions to be carried out helps achieve a goal in the best possible way. This course emphasizes data-driven modeling, theory, and numerical algorithms for optimization with real variables. The course gives a comprehensive foundation for theory, methods, and algorithms of mathematical optimization. The prerequisites are linear algebra and calculus.


Recommended Core Text: Introduction to Management Science-2nd Edition, by Frederick S. Hillier, and Mark S. Hillier 


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What to learn?

Study the main concepts of optimization theory and develop a methodology for the theoretical investigation of optimization problems. Obtain an understanding of creation, effectiveness, and application optimization methods and algorithms in practice. Give the possibility of solving standard and nonstandard mathematical problems connected to finding optimal solutions.


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