Chevron Left
Trees and Graphs: Basics(으)로 돌아가기

콜로라도 대학교 볼더 캠퍼스의 Trees and Graphs: Basics 학습자 리뷰 및 피드백

4.8
별점
16개의 평가
5개의 리뷰

강좌 소개

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....
필터링 기준:

Trees and Graphs: Basics의 5개 리뷰 중 1~5

교육 기관: Catherine G

2021년 6월 13일

This course is excellent. The instructor gives detailed, helpful lectures complete with clear examples that help solidify the concepts. The readings supplement the lectures nicely. The assignments are of appropriate difficulty and reinforce what we learn in the course material. I look forward to taking more courses with Sriram!

교육 기관: Brian C

2021년 7월 3일

very solid course - would love more programming assignments and tougher final

교육 기관: Mathan K M

2021년 5월 28일

Detailed lectures and thoroughly taught!

Interesting programming assignments.

But the operations on tree/graph could have been better explained using animated videos rather than whiteboard scribblings.

교육 기관: SeungGeon K

2021년 8월 29일

Great lecturer and course materials. Assignments were fun also

교육 기관: Martin

2021년 6월 3일

Well made!