Chevron Left
Retour à Trees and Graphs: Basics

Avis et commentaires pour d'étudiants pour Trees and Graphs: Basics par Université du Colorado à Boulder

4.8
étoiles
48 évaluations

À propos du cours

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....

Meilleurs avis

DN

28 sept. 2022

This course is easy to understand and implement. It needs more programming exercises further!

SK

28 août 2021

Great lecturer and course materials. Assignments were fun also

Filtrer par :

1 - 12 sur 12 Avis pour Trees and Graphs: Basics

par Catherine G

13 juin 2021

par Mathan K M

28 mai 2021

par Rusty M

9 mai 2022

par Krish K

30 mars 2022

par Brian C

3 juil. 2021

par Ming-Hao C

20 juin 2022

par Jeffrey C

24 avr. 2022

par Dậu Q N

28 sept. 2022

par SeungGeon K

29 août 2021

par Devendra J

18 juil. 2022

par Sandipan D

27 nov. 2022

par Martin

3 juin 2021