5.0
Intermediate
29h
Data Structures with Generic Types in C++
Gain insights into array and linked list-based implementations, delve into advanced structures like skiplists and trees, and explore template-based collections for efficient data optimization and retrieval.
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Data structures and algorithms are essential in computer science since they play a crucial role in efficient information retrieval and processing, dealing with files, storing contacts on phones, social networks and web searches.
In this course, you’ll learn about the array-based implementation of various linear data structures, stack, and queues. You’ll also learn about linked list-based implementation. Next, you’ll explore advanced data structures like skiplists and hashing. You’ll learn how to implement a variety of trees and graphs, and data structures related to bits of an integer. Toward the end of the course, you’ll learn the implementation of structures based on external storage.
After completing this course, you’ll be able to create reusable programs with template-based collections that can efficiently analyze how to optimize the storage and retrieval of very large amounts of data. Overall, this course will enhance your productivity and performance as a software developer.
Data structures and algorithms are essential in computer science since they play a crucial role in efficient information retriev...Show More
WHAT YOU'LL LEARN
A thorough understanding of data structures and algorithms
Working knowledge of array-based, linked list-based, and blended implementations
Hands-on experience of C++ interfaces, classes, and templates
Familiarity with complexity analysis of data structures and related algorithms
A thorough understanding of data structures and algorithms
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Content
1.
Overview
8 Lessons
Step through key data structures in C++, understanding their interfaces and efficiency.
2.
Array-Based Lists
10 Lessons
Get started with array-based list implementations, including stacks, queues, deques, and space-efficient arrays.
Array Implementation of StackArrayQueue: An Array-Based QueueArrayDeque: Fast Deque Operations Using an ArrayDualArrayDeque: Building a Deque from Two StacksRootishArrayStack: A Space-Efficient Array StackAnalysis of RootishArrayStackQuiz on Array-Based ListsDiscussion on Array-Based ListsExcercise: Array-Based ListsSolution: Array-Based Lists
3.
Linked Lists
7 Lessons
Examine the structures, operations, and efficiencies of various linked lists for dynamic collections.
4.
Skiplists
8 Lessons
Grasp the fundamentals of skiplists for efficient data manipulation and random-access linked lists.
5.
Hash Tables
7 Lessons
Dig deeper into hash table implementations, efficient data retrieval methods, and collision resolution.
6.
Binary Trees
5 Lessons
Investigate binary trees, their structure, traversals, binary search trees, and design considerations.
7.
Random Binary Search Trees
6 Lessons
Master the steps to build and optimize random binary search trees and Treaps efficiently.
8.
Scapegoat Trees
6 Lessons
Step through Scapegoat Trees' balance maintenance, efficiency analysis, and optimization techniques.
9.
Red-Black Trees
5 Lessons
Discover the logic behind red-black trees, their operations, and their balanced structure.
10.
Heaps
6 Lessons
Break apart Binary Heaps and Meldable Heaps, explore heap variations, and implement `remove(i)`.
11.
Sorting Algorithms
9 Lessons
Enhance your skills in various sorting algorithms, their efficiencies, and practical implementations.
12.
Graphs
8 Lessons
Deepen your knowledge of graphs, their representations, traversal algorithms, and universal sink detection.
13.
Data Structures for Integers
4 Lessons
Follow the process of efficient set implementations for integers with BinaryTrie, XFastTrie, and YFastTrie.
14.
External Memory Searching
6 Lessons
Practice using B-trees for efficient external memory operations and managing dynamic datasets.
Certificate of Completion
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