Ordered Data Structures
Master efficient data structures and algorithms to optimize data handling and processing in modern software development.
Master efficient data structures and algorithms to optimize data handling and processing in modern software development.
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 Accelerated Computer Science Fundamentals 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.
4.8
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English
پښتو, বাংলা, اردو, 4 more
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What you'll learn
Implement and analyze linear data structures
Master tree-based data structure implementations
Understand algorithm complexity and runtime analysis
Create efficient data storage and retrieval systems
Apply advanced tree structures in programming
Skills you'll gain
This course includes:
3 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores ordered data structures for efficient data storage and retrieval. Students learn about arrays, linked lists, queues, stacks, various tree structures including binary trees, AVL trees, B-trees, and heaps. The course emphasizes algorithm complexity analysis and practical implementation of these structures, providing hands-on experience through programming assignments in C++.
Orientation; Linear Structures
Module 1 · 8 Hours to complete
Introduction to Tree Structures
Module 2 · 2 Hours to complete
Advanced Tree Structures
Module 3 · 6 Hours to complete
Heap Structures
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Teaching Assistant Professor of Computer Science
Wade Fagen-Ulmschneider is a Teaching Assistant Professor of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), where he specializes in data structures and data visualization. With a strong passion for data, he serves as the lead instructor for CS 225 (Data Structures), a course that has engaged thousands of students and accumulated over 10 million interactions through various data visualization projects. His innovative teaching methods and commitment to student success have earned him numerous accolades, including the Collins Award for Innovative Teaching and recognition as one of the National Academy of Engineering's Frontiers of Engineering Education scholars.In addition to his teaching responsibilities, Professor Fagen-Ulmschneider has developed several courses, including "Object-Oriented Data Structures in C++" and "Data Science Discovery," which emphasize practical applications of computer science concepts. He has been consistently ranked as an excellent instructor by his students for the past decade. His contributions to education extend beyond the classroom; his work on data visualizations has been highlighted by prominent media outlets and utilized by state governors. Through his engaging courses and dedication to fostering a deep understanding of computer science, Wade Fagen-Ulmschneider continues to inspire the next generation of engineers and computer scientists at UIUC.
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4.8 course rating
871 ratings
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