|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/comprehensive-algorithms/
课程评论:没有评论
课程名称:综合算法 课程概述:该课程于2021年4月进行了更新,新增了使用Python代码实现的栈数据结构示例,包括如何反转字符串的实用案例。该课程提供了算法分析和开发概念的全面概述,努力使课程尽可能简单,旨在让没有算法分析或正式计算机科学教育背景的学员也能理解。 课程内容包括对以下流行算法的回顾: - 二叉搜索树 - 树的遍历与管理 - 归并排序 - 计数排序 - 插入排序 - 基数排序 - 哈夫曼编码 - 以及更多其他算法 此外,您还将学习实施这些算法所需的数据结构,如队列和栈。课程还包括一系列图算法的讨论,以及对更高级算法分析概念的介绍。根据课程反馈,新增了算法的完整Python代码实现,以便您能够构建和运行程序。 本课程是在我参加德克萨斯理工大学的研究生级算法分析与数据结构课程期间开发的,覆盖了我们讨论的主要主题。因此,无论您是一名希望通过算法和数据结构课程的大学生,还是希望提高计算机科学技能的开发者,这门课程都非常适合您。
Course update April 2021: Added Python code implementations for the Stack data structure, including a practical example that shows how to reverse a string.This course provides a comprehensive overview of the concepts of algorithm analysis and development. I attempted to make the course as straightforward as possible, to the point where no previous experience in algorithm analysis or formal computer science education is required.In the lessons, I review popular algorithms such as:Binary search treesTree traversal and managementMerge sortCounting sortInsertion sortRadix sortHuffman codingAnd much moreAdditionally, you'll learn about the data structures that are utilized to implement these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts.And based on course feedback, I'm now adding full Python based code implementations of the algorithms, so you can build and run the programs!I developed this course while I was taking a graduate level Analysis of Algorithms and Data Structures course from Texas Tech University, and these are all the main topics that we discussed. So whether you are a university student looking to pass your algorithm and data structure class, or you are a developer looking to improve your computer science skills, this is the course for you.