課程概述

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. A few examples of questions that we are going to cover in this class are the following: 1. What is a good strategy of resizing a dynamic array? 2. How priority queues are implemented in C++, Java, and Python? 3. How to implement a hash table so that the amortized running time of all operations is O(1) on average? 4. What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!...

May 24, 2016

I like this course very much! Rope is the cleverest task I have ever done! Of course, I hope in future I will work on even more difficult problems, but this is pretty good already for me as a student!

Jul 10, 2020

I think the course content and assignments were great. A suggestion though, it will be more helpful if there are more and varied corner cases that would save time spent in thinking and making cases.

學生對加州大学圣地亚哥分校提供的数据结构的評價和反饋

課程概述

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351 - 数据结构的 375 個評論（共 588 個）

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學生對 加州大学圣地亚哥分校 提供的 数据结构 的評價和反饋

課程概述

熱門審閱

351 - 数据结构 的 375 個評論（共 588 個）

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熱門在線課程

熱門在線專項課程

在線證書

在線學位課程

Coursera

社區

更多

學生對加州大学圣地亚哥分校提供的数据结构的評價和反饋

351 - 数据结构的 375 個評論（共 588 個）