Master Java's functional programming and multi-threading capabilities with hands-on projects. Learn lambda expressions, method references, and virtual threads.
Master Java's functional programming and multi-threading capabilities with hands-on projects. Learn lambda expressions, method references, and virtual threads.
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 Scalable Microservices for Developers 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.
Instructors:
English
What you'll learn
Master Java object-oriented and functional programming concepts
Implement efficient multi-threaded programs using virtual threads
Utilize lambda expressions and method references effectively
Develop concurrent programs using Java's Future and FutureTask
Apply functional programming principles to real-world scenarios
Skills you'll gain
This course includes:
7.65 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores modern Java programming paradigms, focusing on both object-oriented and functional programming concepts. Students learn to implement efficient and scalable concurrent programs using Java's latest features. The curriculum covers lambda expressions, method references, functional interfaces, and virtual threads. Through hands-on case studies and programming assignments, learners develop practical skills in multi-threaded programming and asynchronous computation.
Overview of Java Object-Oriented and Functional Programming
Module 1 · 1 Hours to complete
Java Functional Programming with Lambda Expressions and Method References
Module 2 · 6 Hours to complete
Java Functional Interfaces
Module 3 · 5 Hours to complete
Java Thread Objects and Functional Programming
Module 4 · 5 Hours to complete
Fee Structure
Instructors
Professor of Computer Science and Associate Chair of the Computer Science and Engineering Program
Douglas C. Schmidt is a Professor of Computer Science and Associate Chair of the Computer Science and Engineering program at Vanderbilt University. A Senior Researcher at the Institute for Software Integrated Systems, he has also served as Chief Technology Officer at Carnegie Mellon's Software Engineering Institute. Dr. Schmidt has authored 10 books and over 500 papers on software patterns, optimization, and real-time middleware. He has led the development of ACE, TAO, and CIAO, widely-used middleware frameworks applied in defense, telecom, financial services, healthcare, and gaming industries.
Professor of Computer Science at Vanderbilt University
Dr. Jules White is a Professor of Computer Science at Vanderbilt University, where he also serves as the Director of the Initiative on the Future of Learning & Generative AI and the Associate Dean of Strategic Learning Programs in the School of Engineering. He is recognized for creating one of the first online courses in Prompt Engineering, which focuses on effective communication with AI systems. A recipient of the National Science Foundation CAREER Award, Dr. White has published over 160 papers and has received multiple Best Paper Awards for his research. His work primarily explores large language models, including ChatGPT, as well as topics in cybersecurity and software engineering across various sectors such as healthcare and manufacturing. He leads the Mobile Application Computing, Optimization, and Security Methods (MAGNUM) Group at Vanderbilt University, where he conducts his research and development efforts.
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