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!
Support: For-Each Loops, part 2 of 5
Habilidades que você aprenderá
Trees (Data Structures), Data Structure, Linked List, Binary Tree
Avaliações
AE
Dec 06, 2016
Very solid review of data structures. In fact, I learned a lot of new things along the way like how to benchmark test Java code and how to properly use JUnit and other unit testing frameworks.
YK
Jan 11, 2016
I really liked this course and the way it was taught. Although I am a CS major, I really learnt a lot of other stuff from this course apart from learning the core content of Data Structures.
This week we're going to dive into the course programming project. In the first lesson you'll learn about Strings and Regular Expressions, and in the programming assignment this week you'll apply that knowledge to adding functionality to your text editor so that it can measure the "readability" of text by calculating something called the "Flesch Readability Score". This course is focused on building code that not only does interesting things, but also finishes them quickly. So, let's get started building some code!
Ministrado por
Christine Alvarado
Associate Teaching Professor
Mia Minnes
Assistant Teaching Professor
Leo Porter
Associate Teaching Professor
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