Data Structures & Algorithms II: Binary Trees, Heaps, Skiplists, and Hashmaps
Massive Open Online Course
- Overview
- Course Content
- Requirements & Materials
Who Should Attend
This course is designed for anyone who wants to learn about nonlinear and hierarchical data structures; study binary trees, BSTs, and heaps; understand tree operations and algorithms; implement Hashmaps that store data using key-value pairs; or explore probabilistic data structures like Skiplists. Course tools will help visualize structures and performance.
What You Will Learn
- Mature Java programming skills by using recursion in tree ADTs
- The different nonlinear, linked data structures: Trees, Heaps, SkipLists, and HashMaps
- The significant uses and applications of hierarchical tree structures
- Tree properties and categorizing based on shape and order
- How to design and implement the binary trees: BSTS and Heaps
- How to compute amortized analysis for BSTs, Heaps, HashMaps, and SkipLists
How You Will Benefit
- Experience in examining edge cases and efficiency that occur in BST and Heap operations.
- Understand the up-heap, down-heap, and build-heap procedures.
- Consider the probabilistic data structure, SkipLists, and randomization.
- Implement the HashMap ADT with its key-value pairs.
- Analyze the different collision strategies with HashMaps.
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Taught by Experts in the Field
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The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.
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