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This course teaches foundational knowledge about engineered networks. Topics to be covered include the mathematics of networks (derived from graph theory), data analysis, optimization and machine learning over networks. We will use examples of real-world networks to illustrate the inner workings of the taught methods. Students will learn about the ongoing research in the field, and ultimately apply their knowledge to conduct their own analysis of a real network as part of their final project.