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Learner Reviews & Feedback for Trees and Graphs: Basics by University of Colorado Boulder

4.8
stars
16 ratings
5 reviews

About the Course

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....
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1 - 5 of 5 Reviews for Trees and Graphs: Basics

By Catherine G

Jun 13, 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!

By Brian C

Jul 3, 2021

very solid course - would love more programming assignments and tougher final

By Mathan K M

May 28, 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.

By SeungGeon K

Aug 29, 2021

Great lecturer and course materials. Assignments were fun also

By Martin

Jun 3, 2021

Well made!