Back to Trees and Graphs: Basics
Learner Reviews & Feedback for Trees and Graphs: Basics by University of Colorado Boulder
113 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
PA
Aug 20, 2024
The CLRS version for University of Colorado students to access online has some Chapter number changes leading to confusion about what chapter to read in weeks 3 and 4 of this course.
DA
Dec 25, 2022
Excellent explanation of complex topics. The coding exercise are also well thought out and the tips along the way help to reinforce key concepts.
Filter by:
26 - 27 of 27 Reviews for Trees and Graphs: Basics
By David W
•Sep 13, 2024
Good but some typo's in the quizzes and assignments. Would like to see more thorough exercises
By Rodolfo G U
•Aug 28, 2023
Some typos are not acknowledged. The evaluations are disconnected from the lectures.