This course is part of Data Structures and Algorithms.
This comprehensive course explores advanced data structures beyond linear implementations. Students learn to work with hierarchical structures like Binary Trees, BSTs, and Heaps, understanding their properties and operations. The course covers efficient implementations of HashMaps with collision resolution strategies and probabilistic structures like SkipLists. Through hands-on programming assignments and interactive visualization tools, students gain practical experience in implementing these complex data structures while analyzing their time complexity and performance characteristics.
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English
English
What you'll learn
Implement advanced tree structures including Binary Search Trees and Heaps
Develop efficient algorithms for tree traversal and operations
Create HashMaps with various collision resolution strategies
Implement SkipLists using randomization techniques
Analyze time complexity and performance of nonlinear data structures
Apply recursion effectively in tree-based operations
Skills you'll gain
This course includes:
PreRecorded video
Comprehension questions,Java coding assignments,Course exam
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
The course delves into advanced data structures focusing on nonlinear and hierarchical implementations. Students explore tree structures, including Binary Search Trees and Heaps, learning their operations and algorithms. The curriculum covers HashMaps for key-value pair storage and SkipLists as probabilistic data structures. Through interactive labs, visualization tools, and programming assignments, students gain practical experience while understanding efficiency considerations and edge cases.
Introduction and Review
Module 1
Binary Search Tree (BST) Introduction
Module 2
BST Operations & SkipLists
Module 3
Binary Heaps
Module 4
HashMaps
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: Data Structures and Algorithms
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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Frequently asked questions
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