Chevron Left
返回到 数据结构

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

4.6
3,517 個評分
583 條評論

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!...

熱門審閱

DG

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!

PS

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.

篩選依據:

376 - 数据结构 的 400 個評論(共 569 個)

創建者 Lee B U

Feb 02, 2020

매우 좋습니다.

創建者 Shevelev R R

Sep 21, 2019

Great@!

創建者 Piyush M

Jun 10, 2019

Awesome

創建者 Rakesh R

Aug 21, 2017

love it

創建者 Aakar R

Aug 06, 2016

awesome

創建者 surajit d

Jun 26, 2016

Awesome

創建者 Dheeraj S

May 11, 2020

awsome

創建者 Ujjawal K

Jan 14, 2019

Great.

創建者 Md. R Q S

Sep 10, 2020

great

創建者 Abisheke K A

Sep 08, 2020

Super

創建者 SOURAV K

Apr 28, 2020

great

創建者 刘从从

Mar 14, 2018

难度太大了

創建者 ALE P K

Sep 15, 2020

good

創建者 Omkar V G

Jul 23, 2020

Nice

創建者 Vineetha B

Jul 07, 2020

good

創建者 Pratik A R

Apr 22, 2020

Nice

創建者 D A

Apr 19, 2020

good

創建者 Sonu M

Feb 18, 2019

good

創建者 Lie C

Jun 19, 2018

good

創建者 하림 이

Oct 31, 2017

good

創建者 JeongEuiDong

Oct 30, 2017

good

創建者 Harshit S

Aug 27, 2017

The course covered important data structures and gave an insight on how to counter challenging algorithmic problem through step by step analysis from a very simple approach through slowly and steadily approaching towards better performing algorithms .This gradual rise from a learner's perspective is priceless and helps in better proficiency of the topic.Week 1 taught us basic data structures such as arrays,linked list,stacks and queues and there applications while solving problems on network processing through representing the packets in the form of queues , proper parenthesization of algebraic expressions through an application of stack and representation of tree upside down which we see everywhere in computer science as well as finding the height of a n-ary tree.Week 2 represented very common data structure used in almost any production system's source code the Array List and its time analysis through a new method called amortized time which was analyzed through banker's method,physicist method and the aggregate method .Week 3 described some pretty fast data structures whose mere usage can increase performance considerably such as priority queues whose representation are binary heaps and have special characteristics of Sifting up and Sifting down to maintain the classic heap property and it introduces a very fast sorting algorithm called heap sort.And this was not it another data structure was introduced which is called the disjoint set ( Union find) which made finding paths in very large graphical systems just a formality.The best part of this data structure remained integral to the characteristic of the course to find the efficient solution gradually but definitely as it showed which finding the union find function first through representing as arrays and assigning the parents as indexes and slowly finding the problem in arrays to go through tree representation as a necessity not just because every one has done it.Then came the fourth week and a learner's performance seeking mindset was in full throttle whether it be hash tables,hash functions or distributed hash tables used by Google Drive, Yandex Disk or Drop box there was no way stopping it and thus whole week showed how much can be achieved through hash table representation of data on which these companies integral technologies are based on.On a personal note I also saw the representation of distributed hash tables in Akamai's cloud distributed networks.The week 5 dig deeper into Binary Search Trees and there representation as well as there height were subject to scrutiny with the several applications such as AVL trees as well as Splay Trees all showed certain characteristics of height balancing which are very useful in caching and thus were considered as assignment to have a look and feel of big classes and using methods such as merge and split to get fast retrieval.Thus performance oriented mind set was explored to the fullest through playing of these data structure and applying them on real life scenarios.

創建者 Jenna W

Sep 17, 2016

A really great course, you should definitely take this second after Algorithmic Toolbox, as that has an easier learning curve for the very 'CS professor' style code (lots of single letter variables and other quirks) and how projects should be submitted and tested.

That said, there is a lot of good learning in this course. Make sure you have some good Algorithms textbooks to accompany the lectures, they have recommendations in the course. I personally use Sedgewick's book and CLRS which aren't exactly what they suggest, but work well. Take your time with the learning, make sure you really understand the concepts before moving on to the homework. Use multiple sources to learn (they provide plenty of links!) and you'll do well.

In response to a very politely asked request for clarity: I rated this 4/5 rather than 5/5 stars as I found that for my preferred language (Python) some of the starter files were very poorly created. This meant I often have to rewrite the initial parsing of the inputs because it would create variables that contained incorrect or incomplete input data. Further, there were some non-harmful quirks like semi-colons or parameters shadowing Python reserved words in the code. The next course in this series, Algorithms on Graphs, did not seem to have any of these issues, though!

創建者 Christopher W

Mar 08, 2020

A really good course. I'd have to say the beginning lectures went pretty darn fast. If I hadn't had previous exposure to data structures, I'm sure I would have felt totally buried. As it is it served as a great refresher for the basics, and then the more advanced concepts later were well-presented and thoroughly analyzed. I have a good feel for the use and running times of the operations discussed. I felt bad that I didn't do all the programming exercises when only like 2 or 3 were needed to pass. They were pretty challenging, and by the time I had done enough to pass I was like, OK moving on....maybe I'll circle back to the ones I didn't get to.

創建者 Giorgio B

Sep 23, 2020

Interesting topics, great assignments except for last one. Was too hard yes (I like this), but the test response is not always clear. If there is an overflow I should read "overflow" but sometimes, as your manual says, overflow could show "wrong answer". And this is not fair, as when the problem is hard we need to understand if the answer is wrong or it causes overflow. You could say this enforces students to think and think and think until they solve it. I've used 2 week for the entire course and 2 weeks for the last one exercise.... this is a bit stressful.