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Data Structures and Performance, University of California San Diego

4.8
1,524 ratings
324 reviews

About this 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

By DB

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.

By SS

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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313 Reviews

By Allen Saldanha

Mar 27, 2019

Little hard, but a very interesting course. The teachers are amazing.

By tara

Mar 26, 2019

Very good Course!

By Sruti Raju

Mar 25, 2019

For someone who has some experience of coding but did not venture much into data structures - this is a superb course as it covers an introduction to data structures, their performance, test driven development, benchmarking and more. The lectures and project materials were simply great for introducing the concepts as they were challenging but not too overwhelming for the typical intermediate level beginner like myself.

By Pat Claffey

Mar 03, 2019

Top class course with top class instructors. Later after completing the course I come back to this material to refresh the material. Top class instruction.

By Alexey C

Feb 28, 2019

this course packs quite a punch!

By Benjamin Tracey

Feb 13, 2019

Great course

By Krishna Addepalli

Feb 01, 2019

The idea of applying linkedlists, hashmaps, trees to solve a commonly occurring problem of Word suggestions is cool. It allows the students appreciate the practical context in which these algorithms are useful. The assignments can be made a bit harder to make the learning that much more worthwhile.

By Yazan Alnasr

Feb 01, 2019

I really enjoyed this course thanks to the great teachers and the awesome project, it really was cool working with you all and I'm very excited to see you again in the next course of this specialization.

By YinpuLi

Jan 24, 2019

The course is intro-level and well-organized. Perfect for new Julia users. However, it will be better if updated to Julia v 1.0+.

By RIDDHI GUPTA

Jan 06, 2019

Superb course! Covered most of the topics in a very fluid manner. Could not stop once started the course.