Java Programming: Principles of Software Design
Learn advanced Java programming: interfaces, sorting algorithms, and predictive text generation through hands-on projects.
Learn advanced Java programming: interfaces, sorting algorithms, and predictive text generation through hands-on projects.
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 Java Programming and Software Engineering Fundamentals 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
Develop multi-class Java programs
Implement and use interfaces effectively
Create and apply sorting algorithms
Analyze algorithm performance
Build predictive text generators
Skills you'll gain
This course includes:
4.1 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course teaches advanced Java programming concepts and software design principles. Students learn to solve real-world problems using multiple classes, interfaces, and sorting algorithms. The curriculum includes practical projects like earthquake data analysis and predictive text generation. Topics covered include implementing the Comparable interface, algorithm efficiency analysis, object-oriented concepts, and standard Java packages.
Welcome to the Course
Module 1 · 14 Minutes to complete
Earthquakes: Programming and Interfaces
Module 2 · 3 Hours to complete
Earthquakes: Sorting Algorithms
Module 3 · 2 Hours to complete
N-Grams: Predictive Text
Module 4 · 4 Hours to complete
Java: Tools and Libraries for Everyone
Module 5 · 1 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 in Computer Science at Duke University
Susan H. Rodger is a Professor of the Practice in the Computer Science Department at Duke University, where she specializes in visualization, interaction, and computer science education. She earned her PhD and M.S. in Computer Science from Purdue University and her B.S. in Computer Science and Mathematics from North Carolina State University. Professor Rodger is renowned for developing JFLAP, an educational software tool widely used for teaching formal languages and automata theory, which has been implemented globally in over 160 countries. She also leads the Adventures in Alice Programming project, which integrates computing into K-12 education by providing curriculum materials and professional development for teachers. Her significant contributions to computer science education have been recognized with numerous awards, including the 2013 ACM Karl V. Karlstrom Outstanding Educator Award and the 2019 Taylor L. Booth Education Award. In addition to her teaching and research, she has authored two books and published over fifty journal and conference articles. Outside of academia, Susan enjoys reading, hiking, traveling, swimming, and baking, often creating computer science-themed cookies for her students.
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Frequently asked questions
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