Back to Trees and Graphs: Basics
Learner Reviews & Feedback for Trees and Graphs: Basics by University of Colorado Boulder
104 ratings
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.
Top reviews
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This course is easy to understand and implement. It needs more programming exercises further!
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Excellent explanation of complex topics. The coding exercise are also well thought out and the tips along the way help to reinforce key concepts.
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26 - 26 of 26 Reviews for Trees and Graphs: Basics
By Rodolfo G U
•Aug 28, 2023
Some typos are not acknowledged. The evaluations are disconnected from the lectures.