Object Oriented Programming in Java
Master Java OOP concepts while building an interactive data visualization project with practical programming assignments.
Master Java OOP concepts while building an interactive data visualization project with practical programming assignments.
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 Object Oriented Java Programming: Data Structures and Beyond 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
Design and implement object-oriented programs in Java
Create interactive graphical user interfaces (GUIs)
Understand inheritance and polymorphism concepts
Implement event-driven programming
Develop efficient searching and sorting algorithms
Skills you'll gain
This course includes:
8.1 Hours PreRecorded video
12 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course teaches object-oriented programming principles through hands-on development of an interactive data visualization application. Students learn core OOP concepts including classes, objects, inheritance, and polymorphism while building practical programming skills. The curriculum combines theoretical foundations with real-world application, covering topics from basic object creation to advanced concepts like GUI development and event handling. Through project-based learning, students gain experience with memory models, scope, graphical interfaces, and fundamental algorithms.
Welcome and Project Overview: Visualizing Data
Module 1 · 3 Hours to complete
Memory Models, Scope, and Starting the Project
Module 2 · 10 Hours to complete
Graphical output: Creating GUIs and Displaying Data
Module 3 · 8 Hours to complete
Inheritance
Module 4 · 5 Hours to complete
GUIs: Responding to User Events
Module 5 · 4 Hours to complete
Searching and Sorting: From Code to Algorithms
Module 6 · 7 Hours to complete
Fee Structure
Instructors
5 Courses
Distinguished Computer Science Educator and Educational Innovation Pioneer
Dr. Leo Porter serves as a Professor of Computer Science at UC San Diego, where he co-founded the Computing Education Research Laboratory focused on understanding how students learn computing and creating inclusive learning environments. His journey includes service as a surface warfare officer in the U.S. Navy's Pacific fleet and Operation Iraqi Freedom before earning his M.S. and Ph.D. in computer science from UC San Diego in 2007. His groundbreaking research in computer science education, particularly on Peer Instruction and active learning pedagogies, has earned numerous accolades, including Best Paper Awards at SIGCSE and the International Computing Education Research Conference. Recently, he co-authored "Learn AI-Assisted Python Programming" with Daniel Zingaro, addressing the integration of AI tools in programming education. His research spans computer architecture, educational technology, and student learning assessment, with particular emphasis on using data-driven approaches to predict student outcomes and identify critical course concepts. As a Distinguished Member of the ACM, he has influenced over 500,000 learners through popular Coursera and edX courses while maintaining active research in both computer science education and computer architecture.
Champion of Inclusive Computer Science Education
Christine Alvarado serves as Associate Teaching Professor in Computer Science and Engineering at UC San Diego and Associate Dean for the Division of Undergraduate Education. Her distinguished career combines technical expertise with a passionate commitment to diversifying computer science education. After earning her Ph.D. from MIT in 2004, she began her academic career at Harvey Mudd College before joining UCSD in 2012. Her innovative work includes founding the CSE Early Research Scholars Program, which has engaged over 339 early undergraduates in computing research, with significant participation from women, non-binary students, and underrepresented racial groups
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