Java Programming: Arrays, Lists, and Structured Data
Master Java programming with data structures, arrays, and lists. Learn cryptography and advanced programming concepts.
Master Java programming with data structures, arrays, and lists. Learn cryptography and advanced programming concepts.
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 Programming in Java 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.
4.7
(3,150 ratings)
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What you'll learn
Read and write data from/to files efficiently
Implement data structures using arrays and ArrayLists
Create and manipulate hash tables and maps
Develop encryption and decryption programs
Process and analyze web server log data
Apply object-oriented programming principles
Skills you'll gain
This course includes:
3.5 Hours PreRecorded video
14 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course focuses on advanced Java programming concepts and data structures. Students learn to work with arrays, lists, and structured data while building practical applications. The course covers cryptography, file processing, and web server log analysis. Through hands-on projects, learners develop skills in implementing and breaking encryption algorithms, processing text files, and analyzing data using Java collections. The curriculum emphasizes object-oriented design principles and practical problem-solving approaches.
Welcome
Module 1 · 13 Minutes to complete
Cryptography: Keeping Information Secret
Module 2 · 4 Hours to complete
GladLibs: Stories from Templates
Module 3 · 3 Hours to complete
Web Server Logs: From Logs to Visits
Module 4 · 3 Hours to complete
MiniProject: Vigenère Cipher
Module 5 · 2 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.
Professor of the Practice in Computer Science at Duke University
Susan H. Rodger is a Professor of the Practice in the Computer Science Department at Duke University, where she specializes in visualization, interaction, and computer science education. She earned her PhD and M.S. in Computer Science from Purdue University and her B.S. in Computer Science and Mathematics from North Carolina State University. Professor Rodger is renowned for developing JFLAP, an educational software tool widely used for teaching formal languages and automata theory, which has been implemented globally in over 160 countries. She also leads the Adventures in Alice Programming project, which integrates computing into K-12 education by providing curriculum materials and professional development for teachers. Her significant contributions to computer science education have been recognized with numerous awards, including the 2013 ACM Karl V. Karlstrom Outstanding Educator Award and the 2019 Taylor L. Booth Education Award. In addition to her teaching and research, she has authored two books and published over fifty journal and conference articles. Outside of academia, Susan enjoys reading, hiking, traveling, swimming, and baking, often creating computer science-themed cookies for her students.
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4.7 course rating
3,150 ratings
Frequently asked questions
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