Withdrawal method: Baidu.com
Total [15] sections
Availability of courseware: Yes

You will gain

The goal of the series of courses is to help learners systematically master the relevant knowledge of the data structure course, with the ability to use this knowledge to analyze and solve problems. This lesson is the 6th part of the series of courses, the specific objectives include: master the relevant concepts and representations of trees; master the concepts and properties of binary trees; focus on mastering the storage structure of binary trees, as well as the implementation of the basic operations and various traversal algorithms; master the relevant algorithms of clued binary trees and Huffman trees; and learn to use binary trees to solve comprehensive application problems.

population (esp. of a group of people)

Computer-related students
Courses

The data structure course is a professional foundation course for computer class majors and plays an important role in the training of IT talents. The course arranges the teaching content according to the requirements of the syllabus of university computer science majors to meet the needs of people who need to learn data structure systematically. The series of courses contains 11 parts, this class is the 6th part of "Tree and Binary Tree", introducing the concepts and representations of tree, focusing on the nature of binary events, storage structure, traversal and other basic operations, as well as applying the basic operations to solve problems.


Course Catalog

Introduction to Tree Structures 06:19
Basic concepts of trees 18:04
Basic terminology for trees 07:41
Properties of trees 14:59
Tree storage structures 13:33
Binary tree concepts and properties 18:02
Conversion between binary trees and trees and forests 12:13
Storage structure of binary trees 09:21
Basic operations on binary trees and their implementation 29:18
Traversal of binary trees 18:42
Non-recursive algorithm for binary tree traversal 23:04
Hierarchical Traversal Algorithms 10:05
Construction of a binary tree 24:23
Threaded binary trees 21:41
Huffman Tree 29:24

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