Other changes will likely also be easy to integrate with the existing text. The section on variables could be fairly simply updated to incorporate the “var” keyword if the author chooses to do so in the future. Since the book doesn’t take great advantage of BlueJ’s codpad, the jshell update is mostly irrelevant. That won’t break anything that’s in the book and no static book can account for these changes anyway. The book also uses BlueJ in a way that is likely to stay fairly consistent, but with recent updates to the JDK (such as jshell in JDK 9 and “var” in Java 10), tools like BlueJ may be updated to incorporate these beginner-friendly features. Since this focuses on basic Java concepts that aren’t likely to change, this aspect of the book will be long lived. The primary content is related to the reader accurately. There are some minor typos with snippets of program syntax, but these can lead to confusion. comments aren’t given a complete explanation before being used in example programs) The coverage of these topics is complete enough to answer most questions an intro student may come up with when introduced to the basics, but there are some notable exceptions (ex. For the topics that are covered, the book is quite exhaustive, covering small details of syntax that students may or may not encounter in their first year or two. There are, of course, many Java topics not covered by this book, but the book does a good job of covering important concepts for an introductory programming course. Reviewed by Joseph Kendall-Morwick, Assistant Professor, Missouri Western State University on 5/21/18 Journalism, Media Studies & Communications +.This is an intermediate Java course, and we will build on your prior knowledge. The program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data. 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. You will explain how these data structures make programs more efficient and flexible. In this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. 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). Efficiency is critical, but how do we achieve it, and how do we even measure it? 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. We’re excited you’re here learning with us. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week. This course should take about 6 weeks to complete. Be sure to introduce yourself to everyone in the Meet and Greet forum. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. A good place to start is the navigation bar on the left. We also recommend taking a few minutes to explore the course site. The first module explains how this will work and if this course is right for you. We are excited to be offering a unique course structure, designed to support learners of different backgrounds in succeeding at their own pace. And this course is project-based, so we’ll dive right into the project immediately! In achieving this goal you will also learn the fundamentals of Object Oriented Programming, how to leverage the power of existing libraries, how to build graphical user interfaces, and how to use some core algorithms for searching and sorting data. Our goal is that by the end of this course each and every one of you feels empowered to create a Java program that’s more advanced than any you have created in the past and that is personally interesting to you. We recommend this course to learners who have previous experience in software development or a background in computer science. People come to this course with many different goals - and we are really excited to work with all of you! Some of you want to be professional software developers, others want to improve your programming skills to implement that cool personal project that you’ve been thinking about, while others of you might not yet know why you’re here and are trying to figure out what this course is all about. Welcome to our course on Object Oriented Programming in Java using data visualization.
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