Graph Theory in Data Science

Catalog description

A graduate-level introduction to advanced introduction to various graphs, trees, flows in networks, maps, walks, networks, and cycles. This course will primarily introduce all the standard graphs theory results, emphasizing its applications in Data Science. Large datasets with multiple interconnections between dataset variables can be distilled and illuminated using various graphs, trees, and networks, recognizing situations where graphs delineate a given dataset. An introduction to the tree search algorithm and solutions to four color problems is covered.