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.
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Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
- 5 stars74,45 %
- 4 stars18,84 %
- 3 stars4,09 %
- 2 stars0,98 %
- 1 star1,62 %
Meilleurs avis pour JAVA PROGRAMMING: PRINCIPLES OF SOFTWARE DESIGN
A very challenging course with a lot of assignments, great professors and discussion forum. But I feel like the instructors could have given the instructions more clearly on the assignment
amazing material - solid learning for Java
one struggle - discussion boards don't seem to be monitored by staff most of the time - expect to do most on your own without teacher input
devoted professors, appropriate topics which can lead to the correct understanding of each Java object, so we can realize OO programming ideas, not only how to type codes.
Well designed and well structured with the packages, resources, programming exercises and practice quiz. I appreciate the team's hard work in delivering good knowledge on the subject efficiently.
À propos du Spécialisation Java Programming and Software Engineering Fundamentals
Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.
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