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.
Transforming Computer Science Education at Duke University
Robert Duvall is a dedicated Lecturer in the Department of Computer Science at Duke University, where he has been instrumental in reshaping introductory computing curricula for over 15 years. His innovative teaching approach focuses on creating a simplified yet intellectually rigorous learning environment for novice students, enabling them to leverage technological advancements to tackle significant challenges. Recently, he has collaborated with colleagues to redesign Duke’s introductory computer science course, aiming to engage a diverse range of students from various backgrounds and disciplines. Duvall holds a Master of Science in Computer Science from Brown University and is recognized for his commitment to educational excellence, having developed several courses that emphasize practical skills and critical thinking. His passion for teaching and continuous improvement in computer science education underscores his role as a leader in fostering an inclusive and effective learning atmosphere at Duke.
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4.6 course rating
1,480 ratings
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