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

4.8
stars
2,053 ratings
•
424 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

DB
Oct 12, 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.

SS
Dec 18, 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.

Filter by:

326 - 350 of 413 Reviews for Data Structures and Performance

By Johnny R

•
Jun 21, 2019

excelente

By Mohammed B

•
Apr 24, 2019

very good

By Abhishek K

•
Nov 23, 2016

very Good

By Kunal B

•
Oct 9, 2016

wonderful

By Paulo H S L

•
Feb 17, 2016

very good

By Oleksii P

•
Jan 28, 2016

very cool

By Ilya B

•
Jan 7, 2016

I like it

By Saleem U B

•
Dec 26, 2015

Great one

By Denis G

•
Dec 22, 2015

Thank you

By José A T F

•
Dec 30, 2020

Perfect!

By Noah D G

•
Dec 23, 2018

Loved it

By Abdalla M

•
May 23, 2017

Loved it

By namnguyen

•
Nov 12, 2015

Perfect!

By xiaojing

•
Nov 10, 2017

Great !

By Олег Т

•
Jun 20, 2016

awesome

By Haoyu G

•
Jan 1, 2016

哎呦，不错啊。

By Sheldon D

•
May 16, 2017

great!

By Arun K S

•
Jun 29, 2016

Thanks

By RAMAZAN K

•
Nov 3, 2018

devam

By Hamidreza G

•
Mar 12, 2016

Great

By SUMIT P

•
Dec 8, 2020

good

By Nikhil U

•
Nov 25, 2020

good

By 韩宇轩

•
Mar 4, 2020

good

By Alexey U

•
Dec 21, 2015

Cool

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.

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