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Volver a Trees and Graphs: Basics

Opiniones y comentarios de aprendices correspondientes a Trees and Graphs: Basics por parte de Universidad de Colorado en Boulder

4.8
estrellas
48 calificaciones

Acerca del Curso

Basic algorithms on tree data structures, binary search trees, self-balancing trees, graph data structures and basic traversal algorithms on graphs. This course also covers advanced topics such as kd-trees for spatial data and algorithms for spatial data. Trees and Graphs: Basics can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder....

Principales reseñas

DN

28 de sep. de 2022

This course is easy to understand and implement. It needs more programming exercises further!

SK

28 de ago. de 2021

Great lecturer and course materials. Assignments were fun also

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