Java Programming: Solving Problems with Software
Learn Java programming fundamentals and develop problem-solving skills through hands-on projects with data analysis, image processing, and CSV file handling.
Learn Java programming fundamentals and develop problem-solving skills through hands-on projects with data analysis, image processing, and CSV file handling.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Object Oriented Programming in Java Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Edit, compile, and run Java programs
Use conditionals and loops effectively
Develop algorithms to solve specific problems
Process and analyze data from CSV files
Create reusable methods and classes
Skills you'll gain
This course includes:
5.2 Hours PreRecorded video
16 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive Java programming course teaches fundamental programming concepts and problem-solving skills through practical projects. Students learn Java syntax, data processing, algorithm development, and debugging techniques while working with real-world applications including DNA analysis, CSV data processing, and baby names analysis. The course emphasizes hands-on coding practice and systematic problem-solving approaches.
Introduction to the Course
Module 1 · 22 Minutes to complete
Fundamental Java Syntax and Semantics
Module 2 · 6 Hours to complete
Strings in Java
Module 3 · 5 Hours to complete
CSV Files and Basic Statistics in Java
Module 4 · 2 Hours to complete
MiniProject: Baby Names
Module 5 · 2 Hours to complete
Fee Structure
Instructors
Associate Professor of the Practice
Andrew Hilton is an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering, where he has been teaching since 2012. Before joining Duke, he worked as an advisory engineer at IBM. One of the key courses he teaches is ECE 551, an intensive introduction to programming designed to equip graduate students with no prior experience to master programming and tackle advanced courses. In 2015, Professor Hilton received the Klein Family Distinguished Teaching Award for his excellence in teaching. He holds a Ph.D. in Computer Science from the University of Pennsylvania.
Professor of the Practice at Duke University
Owen Astrachan is a Professor of the Practice in the Department of Computer Science at Duke University, where he has taught for over 25 years. Before joining Duke, he spent seven years teaching high school. He is known for his efforts to redesign Duke's introductory computer science course to attract a diverse range of students from various backgrounds. Additionally, he leads the Computer Science Principles project, which aims to engage previously uninterested students in computing.Dr. Astrachan holds a PhD in Computer Science and a Master of Arts in Teaching (Mathematics), both from Duke University. He has received numerous accolades for his teaching, including an NSF Career award and the ACM Karl V. Karlstrom Outstanding Educator Award for his contributions to computer science education.On Coursera, he offers several courses focused on Java programming, including "Java Programming: Arrays, Lists, and Structured Data," "Java Programming: Build a Recommendation System," and "Programming Foundations with JavaScript, HTML and CSS." His courses are designed to make programming accessible and engaging for learners at all levels. Through his work, Owen Astrachan continues to inspire future generations of computer scientists and broaden participation in the field.
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4.6 course rating
7,907 ratings
Frequently asked questions
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