Java Programming: An Introduction to Software

Learn the basics of programming and software development with Java in four courses.




  • 分类: 计算机
  • 平台: Coursera
  • 语言: 英语


This Specialization covers the fundamentals of software development, focusing on a beginner-level introduction to rigorous problem-solving approaches while still embracing and extending traditional methods of computer science and software engineering. You’ll explore foundational concepts such as algorithm development, data representation, and debugging, using common tools such as HTML/CSS, Javascript, and Java. In the final Capstone Project, you’ll apply the skills you learned by creating a working recommender system that can help users find and choose items, such as films, books, or restaurants. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses.

第 1 门课程

程序设计与 Web 入门

当前班次:5月 2 — 6月 6。每隔 3 周会有一个新班次开课。
课程学习时间 4周的学习时间,每周需花费3-5小时


1. 运用HTML和CSS制作网页;
2. 解释运用高级语言的编程过程;
3. 运用批判性思考解决问题;
4. 运用包含条件语句和循环语句在内的Javascript解决编程问题;
5. 运用Javascript来调控图像和处理数据;
6. 认识到调试程序是一种科学方法的应用。


第 2 门课程

Java 程序设计:使用软件解题

当前班次:5月 2 — 6月 6。每隔 3 周会有一个新班次开课。
课程学习时间 4周的学习时间,每周需花费3-5小时

Building upon Duke’s “Programming and the Web for Beginners” course, you will grow in your ability to be a problem-solver and programmer by writing Java programs. We are excited that you’ve chosen to learn Java with us! You will soon be able to solve problems that you find interesting and useful by practicing a design process you will learn in this course.

Java concepts presented in this course include basic control flow; object-oriented concepts including classes and methods; custom, open-source classes; and a design-implement-debug process that you can continue to leverage as you build your experience and knowledge of programming principles.

The custom, open-source classes will provide a consistent application programming interface (API) so that you can write programs that access and transform images, websites, comma separated value (CSV) files and other data files using simple and accessible coding idioms built on the Java Iterable interface. You will learn to design, test, and debug programs and to find and read Java documentation that can serve as the basis for continued study of Java and programming.

After completing this course you will be able to:
1. Edit, compile, and run a Java program;
2. Use conditionals and for loops appropriately in a Java program;
3. Use Java API documentation in writing programs.
4. Debug a Java program using the scientific method;
5. Develop 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 more than one method.

第 3 门课程

Java Programming: Arrays, Lists, and Structured Data

当前班次:5月 2 — 6月 6。每隔 3 周会有一个新班次开课。
课程学习时间 4周的学习时间 每周需花费3-5小时

This course will build on the skills you learn in Java Programming: Solving Problems with Software. You will continue to expand your programming skill set to read and manipulate data with more complex structure. You will also write programs with more complex structure.

By the end of 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.

第 4 门课程

Java 程序设计:软件设计原理

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。
课程学习时间 4 weeks of study, 3-5 hours/week

In this course, you will write programs in Java to solve real­ world problems that are large enough to require multiple classes working together. You will see that programming is more than just coding–it involves strategic thinking and design as well. You will learn how to design programs to solve problems that require solutions that scale. You will also learn about the Java Collections classes and how Java interfaces facilitate developing programs that scale.

After completing this course, you will be able to:
1. Use sorting appropriately in solving problems;
2. Develop classes that implement the Comparable interface;
3. Use timing data to analyze empirical performance;
4. Break problems into multiple classes, each with their own methods;
5. Determine if a class from the Java API can be used in solving a particular problem;
6. Implement programming solutions using multiple approaches and recognize tradeoffs;
7. Use object-oriented concepts including interfaces and abstract classes when developing programs;
8. Appropriately hide implementation decisions so they are not visible in public methods; and
9. Recognize the limitations of algorithms and Java programs in solving problems.
10. Recognize standard Java classes and idioms including exception-handling, static methods,, and packages;


Java 程序设计:DIY 版本的 Netflix 和亚马逊推荐系统引擎

即将开课的班次:5月 23 — 7月 3。每隔 3 周会有一个新班次开课。
课程学习时间 4 weeks of study, 3-5 hours/week

Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon recommends books? We can get a feel for how it works by building a simplified recommender of our own!

In this capstone, you will show off your problem solving and Java programming skills by creating recommender systems. You will work with data for movies, including ratings, but the principles involved can easily be adapted to books, restaurants, and more. You will write a program to answer questions about the data, including which items should be recommended to a user based on their ratings of several movies. Given input files on users ratings and movie titles, you will be able to:

1. Read in and parse data into lists and maps;
2. Calculate average ratings;
3. Calculate how similar a given rater is to another user based on ratings; and
4. Make movie recommendations for a type of movie or for a given user based on ratings.

  • Coursera
  • edX
  • OpenLearning
  • FutureLearn
  • iversity
  • Udacity
  • NovoEd
  • Canvas
  • Open2Study
  • Google
  • ewant
  • FUN
  • IOC-Athlete-MOOC
  • World-Science-U
  • Codecademy
  • CourseSites
  • opencourseworld
  • ShareCourse
  • gacco
  • MiriadaX
  • openhpi
  • Stanford-Open-Edx
  • 网易云课堂
  • 中国大学MOOC
  • 学堂在线
  • 顶你学堂
  • 华文慕课
  • 好大学在线CnMooc

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