This Specialization is for aspiring software developers with some programming experience in at least one other programming language (e.g., Python, C, JavaScript, etc.) who want to be able to solve more complex problems through objected-oriented design with Java. In addition to learning Java, you will gain experience with two Java development environments (BlueJ and Eclipse), learn how to program with graphical user interfaces, and learn how to design programs capable of managing large amounts of data. These software engineering skills are broadly applicable across wide array of industries.
Object Oriented Programming in Java専門講座
Grow Your Portfolio as a Software Engineer. Learn about Object Oriented Design in four project-based courses.
提供：
デューク大学（Duke University）
カリフォルニア大学サンディエゴ校
専門講座のしくみ
コースを受講しましょう。
Coursera（コーセラ）の専門講座は、一連のコース群であり、技術を身に付ける手助けとなります。開始するには、専門講座に直接登録するか、コースを確認して受講したいコースを選択してください。専門講座の一部であるコースにサブスクライブすると、自動的にすべての専門講座にサブスクライブされます。1つのコースを修了するだけでも結構です。いつでも、学習を一時停止したり、サブスクリプションを終了することができます。コースの登録状況や進捗を追跡するには、受講生のダッシュボードにアクセスしてください。
実践型プロジェクト
すべての専門講座には、実践型プロジェクトが含まれています。専門講座を完了して修了証を獲得するには、成功裏にプロジェクトを終了させる必要があります。専門講座に実践型プロジェクトに関する別のコースが含まれている場合、専門講座を開始するには、それら他のコースをそれぞれ終了させる必要があります。
修了証を取得
すべてのコースを終了し、実践型プロジェクトを完了すると、修了証を獲得します。この修了証は、今後採用企業やあなたの職業ネットワークと共有できます。
この専門講座には4コースあります。
コース1
Java Programming: Solving Problems with Software
4.6
2,503件の評価
Learn to code in Java and improve your programming and problem-solving skills. You will learn to design algorithms as well as develop and debug programs. Using custom open-source classes, you will write programs that access and transform images, websites, and other types of data. At the end of the course you will build a program that determines the popularity of different baby names in the US over time by analyzing comma separated value (CSV) files.
After completing this course you will be able to:
1. Edit, compile, and run a Java program;
2. Use conditionals and loops in a Java program;
3. Use Java API documentation in writing programs.
4. Debug a Java program using the scientific method;
5. Write a Java method to solve a specific problem;
6. Develop a set of test cases as part of developing a program;
7. Create a class with multiple methods that work together to solve a problem; and
8. Use divide-and-conquer design techniques for a program that uses multiple methods.
コース2
Java Programming: Arrays, Lists, and Structured Data
4.7
1,261件の評価
Build on the software engineering skills you learned in “Java Programming: Solving Problems with Software” by learning new data structures. Use these data structures to build more complex programs that use Java’s object-oriented features. At the end of the course you will write an encryption program and a program to break your encryption algorithm.
After completing this course, you will be able to:
1. Read and write data from/to files;
2. Solve problems involving data files;
3. Perform quantitative analyses of data (e.g., finding maximums, minimums, averages);
4. Store and manipulate data in an array or ArrayList;
5. Combine multiple classes to solve larger problems;
6. Use iterables and collections (including maps) in Java.
コース3
Object Oriented Programming in Java
4.7
3,377件の評価
Welcome to our course on Object Oriented Programming in Java using data visualization. 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.
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. 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. 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. And this course is project-based, so we’ll dive right into the project immediately!
We are excited to be offering a unique course structure, designed to support learners of different backgrounds in succeeding at their own pace. The first module explains how this will work and if this course is right for you. We also recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. 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. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.
This course should take about 6 weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.
We’re excited you’re here learning with us. Let’s get started!
コース4
Data Structures and Performance
4.8
1,524件の評価
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!
講師
Mia Minnes
Assistant Teaching ProfessorComputer Science and Engineering
Andrew D. Hilton
Associate Professor of the PracticeElectrical and Computer Engineering
Owen Astrachan
Professor of the PracticeComputer Science
Robert Duvall
LecturerComputer Science
Christine Alvarado
Associate Teaching ProfessorComputer Science and Engineering
Leo Porter
Assistant Teaching ProfessorComputer Science and Engineering
Susan H. Rodger
Professor of the PracticeComputer Science
デューク大学（Duke University）について
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
カリフォルニア大学サンディエゴ校について
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
よくある質問
返金ポリシーについて教えてください。
1つのコースだけに登録することは可能ですか？
はい。まず始めに興味のあるコースカードをクリックして登録します。コースに登録して修了することによって、共有できる修了証を取得するか、無料でコースを聴講してコースの教材を確認することができます。専門講座の一部であるコースにサブスクライブすると、専門講座全体に自動的にサブスクライブされます。進捗を追跡するには、受講生のダッシュボードにアクセスしてください。
学資援助はありますか？
無料でコースを受講できますか？
このコースは100%オンラインで提供されますか？実際に出席する必要のあるクラスはありますか？
このコースは完全にオンラインで提供されているため、実際に教室に出席する必要はありません。Webまたはモバイル機器からいつでもどこからでも講義、学習用教材、課題にアクセスできます。
専門講座を修了するのにどのくらいの期間かかりますか？
If you complete each course on schedule, the Specialization should take about 4-6 months to complete.
What background knowledge is necessary?
You should have some experience programming in at least one other coding language.
Do I need to take the courses in a specific order?
This Specialization's courses are designed to be completed in sequential order. You should start with our first course, Java Programming: Solving Problems with Software.
専門講座を修了することで大学の単位は付与されますか？
These Coursera courses are not official courses at either Duke University or the University of California, San Diego (UCSD), but rather are courses created by Duke and UCSD faculty in which you can earn a Coursera certificate. To learn more about Coursera certificates, please see: https://www.coursera.org/signature/. These courses' Coursera certificates do not represent university credit or continuing education units from either Duke or UCSD and do not come with a university transcript.
What will I be able to do upon completing the Specialization?
You should be able to program in Java and design software applications using object oriented programming design.
さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。
コーセラは、世界トップクラスの教育を世界中に配信しています。
最高峰の大学や組織とのパートナーシップに基づくオンラインコースが提供されています。
© 2019 Coursera (株)すべての権利予約します。
