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Learner Reviews & Feedback for Data Structures and Performance by University of California San Diego

1,891 ratings
393 reviews

About the Course

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!...

Top reviews


Oct 13, 2017

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.


Dec 19, 2015

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.

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301 - 325 of 382 Reviews for Data Structures and Performance

By Vladyslav B

Feb 10, 2020


By Johnny R

Jun 21, 2019


By Mohammed B

Apr 24, 2019

very good

By Abhishek K

Nov 23, 2016

very Good

By Kunal B

Oct 09, 2016


By Paulo H S L

Feb 18, 2016

very good

By Oleksii P

Jan 28, 2016

very cool

By Blazhnov I V

Jan 07, 2016

I like it

By Saleem U B

Dec 26, 2015

Great one

By Denis G

Dec 22, 2015

Thank you

By Noah D G

Dec 24, 2018

Loved it

By Abdalla M

May 23, 2017

Loved it

By namnguyen

Nov 12, 2015


By xiaojing

Nov 11, 2017

Great !

By Олег Т

Jun 20, 2016


By Haoyu G

Jan 02, 2016


By Sheldon D

May 16, 2017


By Arun K S

Jun 29, 2016



Nov 03, 2018


By Hamidreza G

Mar 12, 2016


By 韩宇轩

Mar 05, 2020


By Alexey U

Dec 21, 2015


By Karsten S

Feb 22, 2016

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.

By Deleted A

Feb 22, 2016

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.