Solve real world problems with Java using multiple classes. Learn how to create programming solutions that scale using Java interfaces. Recognize that software engineering is more than writing code - it also involves logical thinking and design. By the end of this course you will have written a program that analyzes and sorts earthquake data, and developed a predictive text generator.
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, java.net, and java.io packages.
Ce cours fait partie de la Spécialisation Java Programming and Software Engineering Fundamentals
Java Programming: Principles of Software Design
proposé par
À propos de ce cours
4.6
735 notes
Compétences que vous acquerrez
Programming PrinciplesInterfacesSoftware DesignJava Programming
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
114 minutes pour terminer
Welcome to the Course
Welcome to “Java Programming: Principles of Software Design”! We are excited that you are starting our course to learn how to write programs in Java, one of the most popular programming languages in the world. In this introductory module, you will hear an overview of this course and be introduced to the supporting resources available.
1 vidéo (Total 4 min), 1 lecture
1 vidéo
Welcome!4 min
1 lecture
Programming Resources10 min
2 heures pour terminer
Earthquakes: Programming and Interfaces
In this module, we will introduce a data set containing details about earthquakes around the world. You will learn how to pull this data into a program, search through the data, and filter the data based on desired criteria. By the end of this module, you will be able to (1) write programs that include multiple classes and ArrayLists of class types, (2) find the maximum value in an ArrayList, (3) use a Filter interface to search through data, (4) implement interfaces with method signatures, and (5) combine several filters together.
11 vidéos (Total 57 min), 4 lectures, 3 quiz
11 vidéos
Introduction7 min
Relationships Between Classes4 min
Licensing and APIs3 min
Coding a Magnitude Filter10 min
Coding the Closest Quakes12 min
Summary2 min
Introduction1 min
Interfaces to Avoid Duplication6 min
Interfaces in More Depth3 min
MatchAll4 min
Summary1 min
4 lectures
Module Learning Outcomes / Resources10 min
Location class documentation and license resources10 min
Programming Exercise: Searching Earthquake Data10 min
Programming Exercise: Filtering Data10 min
3 exercices pour s'entraîner
Searching Earthquake Data12 min
Filtering Data10 min
Earthquakes: Programming and Interfaces24 min
Semaine
22 heures pour terminer
Earthquakes: Sorting Algorithms
In this module, you will continue using real earthquake data to explore several sorting algorithms. You will learn how to implement a selection sort and a bubble sort, then be introduced to a Java method Collections.sort, which sorts with much greater efficiency. By the end of this module, you will be able to (1) implement several sorting algorithms from scratch, (2) use efficient pre-existing sorting classes, (3) modify a class’s compareTo method to choose the criteria by which objects of that type are ordered, and (4) write classes that implement the Comparator interface to create interchangeable sorting criteria.
12 vidéos (Total 52 min), 3 lectures, 3 quiz
12 vidéos
Introduction57s
Developing an Algorithm4 min
Translating to Code3 min
In Place8 min
Efficiency4 min
Summary47s
Introduction5 min
Comparable4 min
Ordering Quakes by Magnitude7 min
Comparator5 min
Comparator for Distance from a Location5 min
Summary32s
3 lectures
Module Learning Outcomes / Resources10 min
Programming Exercise: Implementing Selection Sort10 min
Programming Exercise: Sorting at Scale10 min
3 exercices pour s'entraîner
Implementing Selection Sort10 min
Sorting at Scale6 min
Earthquakes: Sorting Algorithms16 min
Semaine
33 heures pour terminer
N-Grams: Predictive Text
In this module, you will explore some of the underlying concepts of predictive text. The first lesson will introduce random character generation and then how to train the character selection based on an input text. The second lesson will extend this concept to complete words. By the end of this module, you will be able to: (1) base random text generation on the frequency of characters in a training text, (2) collect a set of characters that occur in a text after randomly chosen initial character(s) to create a semi-random text, (3) extend the predictive text generation to use whole words, and (4) implement your own .equals method to compare complex data types.
15 vidéos (Total 95 min), 5 lectures, 5 quiz
15 vidéos
Introduction5 min
Order-Zero, Order-One6 min
Finding Follow Set7 min
Implementing Order-Two9 min
Testing and Debugging7 min
Interfaces and Abstract Classes9 min
Summary2 min
Introduction3 min
Order-One Concepts6 min
Order-One Helper Functions8 min
WordGram Class4 min
WordGram Class Implementation4 min
Equals and HashCode Methods5 min
Equals Method Implementation10 min
Summary3 min
5 lectures
Module Learning Outcomes / Resources10 min
Programming Exercise: Generating Random Text10 min
Programming Exercise: Interface and Abstract Class10 min
Programming Exercise: Word N-Grams10 min
Programming Exercise: WordGram Class10 min
5 exercices pour s'entraîner
Generating Random Text14 min
Interface and Abstract Class8 min
Word N-Grams6 min
WordGram Class10 min
N-Grams: Predictive Text20 min
Semaine
41 heure pour terminer
Java: Tools and Libraries for Everyone
As you reach the end of this series, you may wish to extend your Java experience to tools beyond those provided here. This module will cover some of the Java basic information that is needed to program without BlueJ or the edu.duke library. After completing this module, you will be able to: (1) write a main method to start a Java program in any programming environment, (2) use the “static” keyword to modify fields, (3) find alternative editors to use with Java, (4) use exceptions to debug your program and make it more robust, and (5) reference Java libraries that are necessary to read files without the edu.duke library.
13 vidéos (Total 42 min), 2 lectures, 1 quiz
13 vidéos
Miscellaneous Java1 min
Main Method3 min
Static4 min
Editors8 min
Summary53s
Introduction1 min
Understanding Exceptions4 min
Handling Exceptions2 min
Declaring Exceptions1 min
Throwing Exceptions1 min
Reading Files with Java.nio6 min
Hello Around the World with Eclipse4 min
Summary45s
2 lectures
Module Learning Outcomes / Resources10 min
Where To Go From Here10 min
1 exercice pour s'entraîner
Java: Tools and Libraries for Everyone18 min
4.6
122 avis38%
a commencé une nouvelle carrière après avoir terminé ces cours
38%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
17%
a obtenu une augmentation de salaire ou une promotion
Meilleurs avis
Like all the modules of this Java specialization, the teachers are very good and the course reaches the objective of teaching the fundamentals of software design with an excellent didactic.
This nicely packaged course is learner centered. It engages the learner by enforcing practice through interesting exercises and quizzes. Kudos and Thumbs up to the team of great instructors
Enseignants
Robert Duvall
LecturerComputer Science
Owen Astrachan
Professor of the PracticeComputer Science
Andrew D. Hilton
Associate Professor of the PracticeElectrical and Computer Engineering
Susan H. Rodger
Professor of the PracticeComputer Science
À propos de Université Duke
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.
À propos de la Spécialisation Java Programming and Software Engineering Fundamentals
Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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