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Вернуться к Data Structures and Performance

Отзывы учащихся о курсе Data Structures and Performance от партнера Калифорнийский университет в Сан-Диего

Оценки: 2,182

О курсе

How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java). In this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. You will explain how these data structures make programs more efficient and flexible. You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage. The program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data. This is an intermediate Java course, and we will build on your prior knowledge. This course is designed around the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!...

Лучшие рецензии


12 окт. 2017 г.

Great into to Java, instructors have clearly put thought in to the format with the choose your own learning style videos, and additional coverage where it may be needed. These have been very helpful.


18 дек. 2015 г.

The course curriculum is well designed and teaches students the basic data structures needed to be a successful software engineer. The project is good, and the weekly assignments are challenging.

Фильтр по:

351–375 из 438 отзывов о курсе Data Structures and Performance

автор: Noah D G

23 дек. 2018 г.

Loved it

автор: Abdalla M

23 мая 2017 г.

Loved it

автор: namnguyen

12 нояб. 2015 г.


автор: xiaojing

10 нояб. 2017 г.

Great !

автор: Олег Т

20 июня 2016 г.


автор: Haoyu G

1 янв. 2016 г.


автор: Sheldon D

16 мая 2017 г.


автор: Arun K S

29 июня 2016 г.


автор: AFJAL

26 авг. 2022 г.


автор: Ramazan K

3 нояб. 2018 г.


автор: Hamidreza G

12 мар. 2016 г.


автор: SUMIT P

8 дек. 2020 г.


автор: Nikhil U

25 нояб. 2020 г.


автор: 韩宇轩

4 мар. 2020 г.


автор: Alexey U

21 дек. 2015 г.


автор: Vladimir G

7 июля 2022 г.


автор: Karsten S

22 февр. 2016 г.

The lectures, assignments, and projects all encourage you to learn about how to design and use optimal search algorithms for text-based applications. I especially value how the discussions present the material in way that is relatively easy to see how it relates to search routines in general. My only complaint is that the instructions do not inform you about the constraints that the online grader implicitly imposes on you. This unfortunately meant that I was not able to submit code with further optimizations that I came up with.

автор: Deleted A

22 февр. 2016 г.

The content includes interesting and useful Java programming examples. The lecturers are generally on top of their subject matter and can speak confidently without visible notes. The tests are thorough and you won't get away with only half-knowledge. If you take all the lectures and study the slides, you will generally get to the necessary level of understanding.

автор: Sanathkumar N

9 янв. 2016 г.

Amazing video lectures that help in understanding the concepts quickly. In video quizzes help make sure your thought process is right.

But The assignments are way too simple if we follow all the steps provided. Assignments have to be more challenging. Surely 5 stars if they add more challenging assignments to this course.

автор: Kevin P

12 сент. 2020 г.

This is a good course for beginners and from practice important concepts. The projects are pretty nice, and the instructions and tests are pretty clear. I don't like that you can choose the path of the videos, but it makes you save time. Only that sometimes it is difficult to choose.

автор: Ákos J B

31 дек. 2016 г.

Rebalance of the content could make the course even better. There were too many topics at week 4. Tries should be discussed in another week. The example code in the main at week 5 was a very good idea. Similar solution would make the understanding better during the other weeks.

автор: Lesly A

3 дек. 2015 г.

The content that has been showed through this course is enough balanced and sufficient to help learners around the world like me to understand clearly Data Structures with java and also for with the other programming languages.

автор: Jialin Y

3 нояб. 2018 г.

lectures are easy to understand but the programming assignment is not so appealing compared to similar courses provided by Princeton on Coursera. But I really like the real-world part in the lecture videos.

автор: Alisa Z

28 нояб. 2015 г.

Amazing course! Very clear explanation of data structures and some basic algorithms. Very good preparation for the interviews.

The only drawback is that the lecture slides are not available for downloading.

автор: lyheng

6 сент. 2017 г.

I have been following courses from this and the previous course about Java OOP were fantastic. This is also great but the assignment were too easy, not so much of that challenge compare to previous one.