Master advanced tree structures and sorting algorithms with AVL trees, 2-4 trees, and divide-and-conquer methods in this 5-week course.
Master advanced tree structures and sorting algorithms with AVL trees, 2-4 trees, and divide-and-conquer methods in this 5-week course.
This advanced course explores complex data structures and algorithms, focusing on self-balancing trees and efficient sorting methods. Students learn AVL and 2-4 tree implementations, study various balancing techniques, and master both iterative and divide-and-conquer sorting algorithms. The course emphasizes practical implementation in Java while analyzing time complexity and performance optimization.
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English
English
What you'll learn
Implement AVL trees with proper balancing techniques
Master 2-4 tree operations and handle overflow/underflow cases
Develop efficient sorting algorithms using iterative and divide-and-conquer approaches
Analyze algorithm stability, memory usage, and time complexity
Optimize sorting implementations for better performance
Implement complex tree rotations and balancing operations
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Labs, Course exam
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
The course provides comprehensive coverage of advanced data structures and algorithms, focusing on self-balancing trees and efficient sorting techniques. The curriculum includes detailed exploration of AVL and 2-4 trees, implementation of various sorting algorithms including bubble sort, merge sort, and quick sort, and analysis of algorithm efficiency. Students work with interactive visualization tools and complete hands-on programming assignments to reinforce concepts.
Introduction and Review
Module 1
AVL Trees
Module 2
(2-4) Trees
Module 3
Iterative Sorting Algorithms
Module 4
Divide & Conquer Sorting Algorithms
Module 5
Fee Structure
Payment options
Financial Aid
Instructor

4 Courses
A Distinguished Leader in Computer Science Education and Innovation
Mary Hudachek-Buswell serves as Associate Chair and Senior Lecturer in the School of Computing Instruction at Georgia Institute of Technology, where she has established herself as a pioneering educator in computer science. After completing degrees in Mathematics from the University of Mary Washington and Auburn University, followed by an MS and PhD in Computer Science from Georgia State University, she has transformed computing education through innovative teaching approaches. Her expertise spans both traditional and online education, particularly in data structures and algorithms, where she developed an acclaimed online course featuring 117 instructional videos and the innovative csvistool visualization platform. Her teaching excellence has been recognized through numerous accolades, including Georgia Tech's Undergraduate Educator Award (2020), Education Partnership Award (2019), the College of Computing's William D. "Bill" Leahy Jr. Outstanding Instructor Award (2019), and most recently, the prestigious Geoffrey G. Eichholz Faculty Teaching Award. Her research focuses on enhancing computing education through visual aids and adaptive teaching methodologies across synchronous, asynchronous, and real-time instruction formats. She has taught a diverse range of courses including the Junior Design Project Sequence, Data Input and Manipulation, Data Structures & Algorithms, and Computing for Engineers, while consistently innovating in educational technology and student engagement strategies. Beyond teaching, she has made significant contributions to the development of teaching assistant training programs and online learning tools, cementing her position as a transformative figure in computer science education.
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