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.
課程信息
Completion of the previous course. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.
您將學到的內容有
Define basic tree data structures and identify algorithmic functions associated with them
Execute traversals and create graphs within a binary search tree structure
Describe strongly connected components in graphs
您將獲得的技能
- Analysis of Algorithms
- Algorithm Design
- Python Programming
- Data Structure Design
- Graphs Algorithms
Completion of the previous course. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.
提供方
立即開始攻讀碩士學位
授課大綱 - 您將從這門課程中學到什麼
Binary Search Trees and Algorithms on Trees
Basics of Graphs and Graphs Traversals
Union-Find Data Structures and Spanning Tree Algorithms
Shortest Path Algorithms
審閱
- 5 stars82.14%
- 4 stars14.28%
- 3 stars3.57%
來自TREES AND GRAPHS: BASICS的熱門評論
Excellent content. Lectures along with textbook provide student with working knowledge of trees and graphs.
This course is easy to understand and implement. It needs more programming exercises further!
Excellent explanation of complex topics. The coding exercise are also well thought out and the tips along the way help to reinforce key concepts.
I have grade 100% My mail id- freespace644@gmail.com
關於 Data Science Foundations: Data Structures and Algorithms 專項課程

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