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
DA
Invalid date
Excellent explanation of complex topics. The coding exercise are also well thought out and the tips along the way help to reinforce key concepts.
KK
Invalid date
I have grade 100% My mail id- freespace644@gmail.com
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.