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Отзывы учащихся о курсе структуры данных от партнера Калифорнийский университет в Сан-Диего

4.6
звезд
Оценки: 3,048
Рецензии: 495

О курсе

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!...

Лучшие рецензии

TT

Apr 06, 2018

Data Structures was really interesting over all, also assignments are quite challenging. It's important to consult the external references & discussion forums if you want to get the best of it.

SG

Oct 28, 2019

I found the course a little tough, but it's worth the effort. It takes more time than mentioned. Apart from that, it is actually good and covers most of the topics required for interviews.

Фильтр по:

426–450 из 479 отзывов о курсе структуры данных

автор: Henry R

Jun 28, 2018

Cover some topics, but not very broad....

автор: Kush S

Jun 06, 2016

Awesome Experience completing this course

автор: Wenyang Z

Feb 27, 2019

Explanations could be improved.

автор: Ritwik K

Jun 08, 2020

Great course, quite difficult.

автор: Shangqun y

Jul 05, 2017

it's a good course overall.

автор: Nikhil S

Feb 11, 2020

update to more questions

автор: InVinCiblezz

Oct 14, 2016

如果能出中文字幕就更好了 考虑会购买整个课程

автор: Jadhav J N

Sep 27, 2019

Programming is hard

автор: Akshive P

May 04, 2018

Great Assignments.

автор: Die J

May 28, 2016

Quite good course.

автор: Iris R

May 16, 2016

very theoritical

автор: Shraddha

Oct 21, 2017

Perfect Course

автор: amisha g

Jun 19, 2020

nice course

автор: Gaurav D

Jun 06, 2020

Good Course

автор: Kanchan V

Jun 07, 2020

very well

автор: Padmakumar N

Aug 05, 2017

Very good

автор: José A T F

Aug 19, 2016

VERY GOOD

автор: Manish C

Dec 09, 2019

love it

автор: Devanshi C

Apr 09, 2020

Thanks

автор: Alexander M

Apr 06, 2017

......

автор: SHIVAM G

Jul 04, 2019

good

автор: Andrey T

Jun 11, 2016

[Slightly updated according to Michael's questions]

The course is fine, but comparing to the previous one - Algorithmic Toolbox - this one is weaker and with lesser quality.

Pros: the course contains some interesting data structures and valuable observations. The starter files for assignments are in place. Related books are given after each video session. All the tasks have automatic grader. There is a couple of interesting tasks to do.

Cons: the material is mostly lectures, and there is even a video where lecturer just reads the article from Wiki (Splay tree - has the same information with same lack of some proofs). Expected: add quizzes as it was in the first course. The course has less weeks - only 4 as comparing to 5 in AT. So various important data structures are not discussed. The course has less homework - 3 tasks each week as comparing to 5 in AT. And all 3 are usually just implementations of some basic algos seen in lectures.

I consider the course valuable due to a number of good videos and a couple of good tasks to do. But in general, this course has the area for improvement.

автор: Vlad

May 14, 2016

The structure of the class follows the regular academic model you'll find in college: lecture -> lecture -> lecture -> assignment... repeat. I don't think this model is suitable for online delivery. Without discussion and the ability to interrupt and ask questions, the lectures are at times a more frustrating than useful (especially with Coursera's user interface, which lacks quick rewind and is generally speaking rather poorly thought out).

For many of the topics, better videos exist online (try safari or pluralsight). As for the problems, they were the main source of learning, but were also at times a bit frustrating (the splay trees starter code was rather sad to look at). I find that hacker rank is probably better at delivering value (if you can forego the warm fuzzy feeling you get from getting a verified certificate, you'll probably be better served by practicing on hacker rank than from doing the problems in this course).

автор: Maciej

Mar 31, 2020

Great set of topics, really good programming challenges. Lectures are NOT very helpful, mostly reading pseudocode from slides which don't make it easy to grasp the concept. Mostly I had to use other resources to understand what the lecture is about. Also, I was hoping that programming tasks will be set up the same way as in the Algorithmic Toolbox course where I could import/submit automatically everything to Coursera. For this course, none of the exercises were available in Pycharm for Edu.

автор: Zhongyu K

May 26, 2016

The depth and explanation of theoretical concepts are better than the first course. I like the in depth discussion over various introduced data structures, for instance there are comparisons between naive implementations vs smarter implementations. However overall the topic is very theoretical, maybe add a little more connection of each introduced data structure with respect to its application would make the topic less dry and more motivating.