Java Programming: Data Structures & Algorithms
This course is part of Introduction to Java Programming.
This comprehensive course introduces essential data structures and algorithms in Java programming. Students learn to implement and work with fundamental structures like lists, stacks, queues, and trees, while mastering efficient algorithms for searching and sorting data. The curriculum emphasizes practical application through interactive learning, preparing students for the AP Computer Science A exam with hands-on experience in computational thinking and programming fundamentals.
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What you'll learn
Implement arrays and linked lists using primitive data types and classes
Develop and manipulate stack and queue data structures
Create and manage tree structures including binary search trees and heaps
Master efficient searching and sorting algorithms
Apply data structures in real-world programming scenarios
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This course provides a thorough introduction to fundamental data structures and algorithms using Java. Students learn to implement and manipulate various data structures including arrays, linked lists, stacks, queues, and trees. The curriculum covers efficient algorithms for searching and sorting data, with emphasis on practical implementation and computational thinking. Designed to align with AP Computer Science A exam requirements, the course offers immediate feedback and interactive learning experiences.
Lists
Module 1
Stacks
Module 2
Queues
Module 3
Trees
Module 4
Searching and Sorting
Module 5
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Introduction to Java Programming
Instructors
3 Courses
Distinguished Leadership in Digital Education and Learning Innovation
Dr. Carlos Delgado Kloos serves as Full Professor of Telematics Engineering at Universidad Carlos III de Madrid, where he holds multiple leadership positions including Vice President for Strategy and Digital Education and Director of the UNESCO Chair on "Scalable Digital Education for All." His academic credentials include dual PhDs - one in Computer Science from the Technische Universität München and another in Telecommunications Engineering from the Universidad Politécnica de Madrid. His contributions to digital education include pioneering two MOOC trilogies on Introduction to Java Programming on edX that have reached nearly 500,000 registered learners. As coordinator of the eMadrid network and leader of the CertiDigital project, he drives innovation in digital education and micro-credentials. His research focuses on Technology-Enhanced Learning, with significant contributions to MOOCs, SPOCs, and learning analytics. His impact on education is evidenced through his 35-year teaching career, development of numerous digital learning initiatives, and coordination of international research projects such as MOOC-Maker, E-LANE, and SMARTLET. As the Spanish representative at IFIP's TC3 on Education and holder of the UNESCO Chair, he continues to shape the future of digital education through innovative teaching methodologies and technology integration.
2 Courses
Distinguished Leadership in Technology-Enhanced Learning and Computer Science Education
Dr. Carmen Fernández-Panadero serves as Associate Professor of Telematics Engineering at Universidad Carlos III de Madrid, where she specializes in Technology Enhanced Learning (TEL) and meaningful learning experiences. Her academic journey began with an MSc in Physical Science from Universidad Complutense de Madrid in 1996, followed by a PhD in Communications Technologies from Universidad Carlos III de Madrid in 2004. Her professional experience includes work at Andersen Consulting in 1997, where she focused on multimedia and Internet programming projects. Since 1999, she has been teaching at Universidad Carlos III de Madrid, where she has played a key role in Java programming education. Her research impact is evidenced by over 1,000 academic citations, focusing on developing innovative methodologies and artifacts for technology-enhanced learning environments. As a member of the Department of Telematics Engineering, she contributes to advancing the field of educational technology through research and practical applications in computer science education
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