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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

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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
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1 - 3 de 3 revisiones para Trees and Graphs: Basics

por Catherine G

13 de jun. de 2021

This course is excellent. The instructor gives detailed, helpful lectures complete with clear examples that help solidify the concepts. The readings supplement the lectures nicely. The assignments are of appropriate difficulty and reinforce what we learn in the course material. I look forward to taking more courses with Sriram!

por Mathan K M

28 de may. de 2021

Detailed lectures and thoroughly taught!

Interesting programming assignments.

But the operations on tree/graph could have been better explained using animated videos rather than whiteboard scribblings.

por M

3 de jun. de 2021

Well made!