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Вернуться к Trees and Graphs: Basics

Отзывы учащихся о курсе Trees and Graphs: Basics от партнера Колорадский университет в Боулдере

Оценки: 47

О курсе

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

Лучшие рецензии


28 сент. 2022 г.

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


28 авг. 2021 г.

Great lecturer and course materials. Assignments were fun also

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1–12 из 12 отзывов о курсе Trees and Graphs: Basics

автор: Catherine G

13 июня 2021 г.

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28 мая 2021 г.

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9 мая 2022 г.

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3 июля 2021 г.

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27 нояб. 2022 г.

автор: Martin

3 июня 2021 г.