Java Programming: Solving Problems with Software (Coursera)

Offered by Duke University,
Java Programming: Solving Problems with Software (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

This course is part of multiple programs
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

Syllabus

WEEK 1
Introduction to the Course
Welcome to “Java Programming: Solving Problems with Software”! 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 get to meet the instructor team from Duke University and have an overview of the course. Have fun!
Fundamental Java Syntax and Semantics
In this module, you will learn to write and run your first Java programs, including one program that prints “Hello!” in various countries’ languages and another where you will analyze the perimeters and other information of shapes. To accomplish these tasks, you will learn the basics of Java syntax and how to design stepwise solutions with programs. By the end of this module, you will be able to: (1) Download and run BlueJ, the Java programming environment for this course; (2) Access the documentation for the Java libraries specially designed for this course; (3) Edit, compile, and run a Java program; (4) Construct methods, variables, if else statements, and for each loops in Java; and (5) Use Iterables (like DirectoryResource) to run a program that iterates over multiples lines in a document or webpage or multiple files in a directory.

WEEK 2
Strings in Java
This module begins with a short presentation from Raluca Gordân, an assistant professor in Duke University’s Center for Genomic and Computational Biology, about an important problem genomics scientists encounter regularly: how to identify genes in a strand of DNA. To tackle this problem, you will need to understand strings: series of characters such as letters, digits, punctuation, etc. After learning about Java methods that work with strings, you will be able to find genes within a DNA string as well as tackle other string related problems, such as finding all of the links in a web page. By the end of this module, you will be able to: (1) Use important methods for the Java String class; (2) Use conditionals, for loops, and while loops appropriately in a Java program; (3) Find patterns in the data represented by strings to help develop the algorithm for your program; (4) Understand the importance of designing programs that keep different data processing steps separate; (5) Use the StorageResource iterable for this course to store some data for further processing; and (6) Rely on Java documentation to better understand how to use different Java packages and classes.

WEEK 3
CSV Files and Basic Statistics in Java
A common format for storing tabular data (any data organized into columns and rows) is in comma separated values (CSV) files. In this module, you will learn how to analyze and manipulate data from multiple CSV data files using a powerful open-source software package: Apache Commons CSV. Using this library will empower you to solve problems that could prove too complex to solve with a spreadsheet. By the end of this module, you will be able to: (1) Use the open-source Apache Commons CSV package in your own Java programs; (2) Access data from one or many CSV files using Java; (3) Convert strings into numbers; (4) Understand how to use “null” in Java programs (when you want to represent “nothing”); (5) Devise an algorithm (and implement in Java) to answer questions about CSV data; and (6) Analyze CSV data across multiple CSV files (for example, find maximums, minimums, averages, and other simple statistical results).

WEEK 4
MiniProject: Baby Names
This module wraps up the course with a mini project that ties together the different practices, skills, and libraries you have gained across the course! Using data on the popularity of different baby names in the United States from the past several decades, you will be able to compare different names’ popularity over time. While the data we have collected for this course is from the United States, we welcome you to share data from other countries in the course discussion forums. Good luck with the mini project!

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Practical Machine Learning (Coursera) Coursera
Johns Hopkins University

Practical Machine Learning (Coursera)

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates.

Jun 22nd 2026
4 Weeks
Functional Programming Principles in Scala (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Programming Principles in Scala (Coursera)

Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera.

Jun 22nd 2026
5-12 Weeks
How To Create a Website in a Weekend! (Project-Centered Course) (Coursera) Coursera
The State University of New York

How To Create a Website in a Weekend! (Project-Centered Course) (Coursera)

In this project-centered course*, you’ll design, build, and publish a basic website that incorporates text, sound, images, hyperlinks, plug-ins, and social media interactivity. We’ll provide you with step-by-step instructions, exercises, tips, and tools that enable you to set up a domain name, create an attractive layout for your pages, organize your content properly, ensure that your site functions well across different operating systems and on mobile devices, keep your site safe, and finally, let people know your site is online. We’ll even show you how to track your visitors.

Jun 22nd 2026
3 Weeks
Java Programming: Principles of Software Design (Coursera) Coursera
Duke University

Java Programming: Principles of Software Design (Coursera)

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.

Jun 22nd 2026
4 Weeks
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Jun 22nd 2026
5-12 Weeks
Approximation Algorithms (Coursera) Coursera
EIT Digital

Approximation Algorithms (Coursera)

Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example because the problems are NP-hard. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don't require the optimal solution to certain problems, but an approximation that is close to the optimal solution. We will see how to efficiently find such approximations.

Jun 26th 2026
4 Weeks
Building Scalable Java Microservices with Spring Boot and Spring Cloud (Coursera) Coursera
Google Cloud

Building Scalable Java Microservices with Spring Boot and Spring Cloud (Coursera)

"Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand resources. In this course, you will learn how to build Java applications using Spring Boot and Spring Cloud on Google Cloud Platform.

Jun 23rd 2026
2 Weeks
Crash Course on Python (Coursera) Coursera
Google

Crash Course on Python (Coursera)

This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.

Jun 23rd 2026
5-12 Weeks
Algorithms on Strings (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Strings (Coursera)

World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.

Jun 22nd 2026
4 Weeks
Interfacing with the Raspberry Pi (Coursera) Coursera
University of California, Irvine

Interfacing with the Raspberry Pi (Coursera)

The Raspberry Pi uses a variety of input/output devices based on protocols such as HDMI, USB, and Ethernet to communicate with the outside world. In this class you will learn how to use these protocols with other external devices (sensors, motors, GPS, orientation, LCD screens etc.) to get your IoT device to interact with the real world.

Jun 22nd 2026
4 Weeks
Using Python to Interact with the Operating System (Coursera) Coursera
Google

Using Python to Interact with the Operating System (Coursera)

By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.

Jun 23rd 2026
5-12 Weeks
Learn to code with AI (Coursera) Coursera
Scrimba

Learn to code with AI (Coursera)

Imagine waking up tomorrow as a web developer. What would you want to build? With AI tools like ChatGPT, you're already a developer, regardless of your experience, if you know how to work with them. So in this course, you'll build functional, interactive front-end projects while learning how to write effective prompts and debug and refine your code with the help of AI.

Jun 24th 2026
2 Weeks