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Introduction to Java Programming

Fundamental Data Structures and Algorithms

Carlos Delgado Kloos, Carmen Fernández Panadero, Iria Estévez-Ayres, Julio Villena Román, Jorge Ruiz, Carlos Alario-Hoyos, and Raquel M. Crespo-García

In this introductory course, you will learn programming with Java in an easy and interactive way.

You will learn about fundamental data structures, such as lists, stacks, queues and trees, and presents algorithms for inserting, deleting, searching and sorting information on these data structures in an efficient way.

Emphasis is put on immediate feedback and on having a fun experience. Programming knowledge is not only useful to be able to program today’s devices such as computers and smartphones. It also opens the door to computational thinking, i.e. the application of computing techniques to every-day processes.

In this introductory course, you will learn programming with Java in an easy and interactive way.

This course is designed taking into account the subset and recommendations of the College Board in order to prepare learners for the Advanced Placement (AP) Computer Science A exam.

What you'll learn

Arrange data on arrays and linked lists using primitive data types and classes.
Develop and use linear data structures, such as stacks and queues, implemented with linked lists or arrays.
Develop and use non-linear data structures, such as trees, including binary search trees and heaps, implemented with linked lists or arrays.
Implement algorithms for the efficient searching and sorting of data.

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What's inside

Learning objectives

Arrange data on arrays and linked lists using primitive data types and classes.
Develop and use linear data structures, such as stacks and queues, implemented with linked lists or arrays.

Develop and use non-linear data structures, such as trees, including binary search trees and heaps, implemented with linked lists or arrays.
Implement algorithms for the efficient searching and sorting of data.

Arrange data on arrays and linked lists using primitive data types and classes.
Develop and use linear data structures, such as stacks and queues, implemented with linked lists or arrays.
Develop and use non-linear data structures, such as trees, including binary search trees and heaps, implemented with linked lists or arrays.
Implement algorithms for the efficient searching and sorting of data.

Syllabus

1. Lists The first week starts with the most fundamental data structure: Lists. Several implementations for storing information in Lists are presented in this week, including the use of Arrays of primitive data types, the use of Arrays of objects of the same class, and the use of links (Linked Lists).

2. Stacks The second week addresses Stacks, which are one well-known linear data structure. Stacks are also called LIFO data structures (last-in, first-out). Algorithms for inserting and extracting information from Stacks will be discussed this week, as well as implementations of Stacks with Linked Lists.

3. Queues The third week addresses another well-known linear data structure: Queues. Queues are also called FIFO data structures (first-in, first-out). Algorithms for inserting and extracting information from Queues will be discussed this week, as well as implementations of Queues with Linked Lists.

4. Trees The fourth week introduces non-linear data structures, and particularly Trees. Binary Search Trees and Heaps are presented as two well-known examples of Trees. Algorithms for inserting and extracting information from Binary Search Trees and Heaps will be discussed this week. Implementations based on Linked Lists for Trees and Heaps will be analyzed.

5. Searching and Sorting The last week presents some basic algorithms for searching and sorting information in linear and non-linear data structures. The efficiency of these algorithms is discussed, proposing alternatives for their improvement.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines fundamental data structures essential in programming, including lists, stacks, queues, and trees

Presents algorithms for efficient data handling, such as insertion, deletion, searching, and sorting, within these data structures

Offers a practical, hands-on approach with immediate feedback, making learning interactive and engaging

Introduces computational thinking, a valuable skill applicable in various fields beyond programming

Prepares learners for the Advanced Placement (AP) Computer Science A exam, providing a strong foundation for further study

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Reviews summary

Beginner-friendly java fundamentals

Learners say that Introduction to Java Programming: Fundamental Data Structures and Algorithms is a great way to get started with Java. The clear instruction and plenty of hands-on exercises are great for beginners. Students appreciate the well-structured content and knowledgeable instructors.

Suitable for beginners with little to no Java experience.

"It is good for beginners to understand every aspect. And I enjoyed this course by learning. And I recommend this course to my friends also"

"I found the course to be very informative and well-structured. It met my expectations by covering a wide range of topics in Java programming, from the basics to more advanced concepts like concurrency, lambdas, and design patterns."

Knowledgeable and supportive instructors.

"The course instructors were knowledgeable and supportive, providing clear explanations and helpful feedback."

"excellent teaching skills,every beginner can learn easily here"

The course includes practical exercises and projects.

"The hands-on exercises were particularly valuable, allowing me to apply what I learned in practical scenarios."

"The course assignments and projects provided valuable practical experience, helping me solidify my understanding of Java programming concepts and their application in real-world scenarios."

Provides a comprehensive introduction to Java programming.

"This course provides an excellent foundation in Java programming, focusing specifically on fundamental data structures and algorithms"

"Its more usefull for learn about java fundamentals. good explanations and quizzes online exercise more usefull for developing my skills"

A variety of educational resources.

"edX offers a variety of educational opportunities for learners interested in studying these topics, as well as a host of other disciplines."

"This Java online platform offers comprehensive tutorials, interactive coding exercises, and a supportive community."

"The course content is well-structured, starting with foundational concepts of Java programming and gradually delving into essential data structures and algorithms."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Java Programming: Fundamental Data Structures and Algorithms with these activities:

Review: Precalculus

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Reviewing Precalculus will provide you with the necessary background knowledge and skills to succeed in this Java programming course.

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Read the chapters on Functions and Graphs from the Precalculus textbook.
Complete the practice problems at the end of each chapter.
Take a practice quiz to test your understanding of the material.

Watch Java tutorials

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Watching Java tutorials will help you to learn about new concepts and techniques.

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Find a set of Java tutorials online.
Watch the tutorials.
Take notes on the key points.

Practice Java exercises

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Regular practice with Java exercises will help you to improve your programming skills.

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Check your answers.
Find a set of Java exercises online.
Solve the exercises.

Five other activities

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Attend a Java meetup

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Attending a Java meetup will allow you to connect with other Java developers and learn from their experiences.

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Find a Java meetup in your area.
Attend the meetup.
Introduce yourself to other attendees.

Attend a Java workshop

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Attending a Java workshop will provide you with an opportunity to learn from experienced Java developers.

Browse courses on Java

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Find a Java workshop in your area.
Register for the workshop.
Attend the workshop and participate in the activities.

Create a Java project

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Creating a Java project will allow you to apply the skills and knowledge you learn in this course to a real-world problem.

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Choose a project idea.
Plan your project, including the design and implementation.
Code your project.
Test and debug your project.
Deploy your project.

Create a Java resource collection

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Creating a Java resource collection will help you to organize and share your favorite Java resources.

Browse courses on Compilation

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Find Java resources online.
Organize the resources into a collection.
Share your collection with others.

Write a Java blog post

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Writing a Java blog post will help you to improve your writing skills and to share your knowledge with others.

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Choose a topic for your blog post.
Write a draft of your blog post.
Edit and revise your blog post.
Publish your blog post.

Career center

Learners who complete Introduction to Java Programming: Fundamental Data Structures and Algorithms will develop knowledge and skills that may be useful to these careers:

Software Engineer

The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, will give a learner a solid foundational knowledge of the Java programming language, which is one of the most popular and widely used programming languages in the world, and algorithms, which is fundamental to software engineering. Software engineers are responsible for designing, developing, and maintaining software systems, which means they need a strong background in programming languages and data structures. They also need to be familiar with programming principles such as object-oriented programming, design patterns, and software testing. This course can help learners develop the programming skills, knowledge, and principles needed to pursue a career in software engineering.

See salaries and explore the career path for Software Engineer

Data Scientist

Introduction to Java Programming: Fundamental Data Structures and Algorithms will be useful in a career as a data scientist. Data science is a field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from large and complex data sets. Data scientists are responsible for collecting, cleaning, and exploring data; building and evaluating models; and communicating insights to stakeholders. They need a strong background in programming, algorithms, and statistics, which this course can help provide.

See salaries and explore the career path for Data Scientist

Computer Programmer

The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can provide a solid foundation in programming for a computer programmer. Computer programmers are responsible for writing and maintaining the code that powers software and applications. They need a strong background in programming languages, data structures, and algorithms. This course can help programmers develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Computer Programmer

Web Developer

Web developers are responsible for designing, building, and maintaining websites and web applications. They need a strong background in programming languages, data structures, and algorithms. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help web developers develop the skills and knowledge needed to be successful in their career.

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Database Administrator

Database administrators are responsible for maintaining and administering databases. They need a strong background in database management systems, data structures, and algorithms. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help database administrators develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Database Administrator

Quantitative Analyst

Quantitative analysts are responsible for using mathematical and statistical models to analyze data and make predictions. They need a strong background in mathematics, statistics, programming, and algorithms. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help quantitative analysts develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business analysts are responsible for analyzing business needs and developing solutions. They need a strong background in business, data analysis, and programming. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help business analysts develop the skills and knowledge needed to be successful in their career.

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Product Manager

Product managers are responsible for developing and managing products. They need a strong background in product management, engineering, and business. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help product managers develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Product Manager

Technical Writer

Technical writers are responsible for writing and editing technical documentation. They need a strong background in writing, editing, and technical subjects. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help technical writers develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Technical Writer

Computer Systems Analyst

Computer systems analysts are responsible for analyzing and designing computer systems. They need a strong background in computer science, systems analysis, and programming. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help computer systems analysts develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Computer Systems Analyst

Information Security Analyst

Information security analysts are responsible for protecting computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They need a strong background in information security, computer science, and programming. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help information security analysts develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Information Security Analyst

Software Quality Assurance Engineer

Software quality assurance engineers are responsible for ensuring the quality of software products. They need a strong background in software testing, quality assurance, and programming. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, can help software quality assurance engineers develop the skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Software Quality Assurance Engineer

Technical Support Engineer

Technical support engineers are responsible for providing technical support to users of software products. They need a strong background in troubleshooting, customer service, and programming. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, may be useful in a career as a technical support engineer. While it does not directly teach troubleshooting or customer service, it can help engineers develop the programming skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Technical Support Engineer

Help Desk Technician

Help desk technicians are responsible for providing technical support to users of computer systems. They need a strong background in troubleshooting, customer service, and computer systems. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, may be useful in a career as a help desk technician. While it does not directly teach troubleshooting or computer systems, it can help technicians develop the programming skills and knowledge needed to be successful in their career.

See salaries and explore the career path for Help Desk Technician

Data Entry Clerk

Data entry clerks are responsible for entering data into computer systems. They need a strong background in data entry and computer systems. The course, Introduction to Java Programming: Fundamental Data Structures and Algorithms, is not directly relevant to a career as a data entry clerk and may not be helpful.

See salaries and explore the career path for Data Entry Clerk

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Java Programming: Fundamental Data Structures and Algorithms.

Algorithms Unlocked

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Classic work on algorithms. It provides a comprehensive overview of the field and valuable resource for both beginners and experienced programmers.

Introduction to Java Programming

Fundamental Data Structures and Algorithms

What you'll learn

What's inside

Learning objectives

Syllabus

Good to know

Save this course

Reviews summary

Beginner-friendly java fundamentals

Activities

Career center

Reading list

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