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Algorithms and Data Structures - Part 1

Course Summary

In this course we will look at the core data structures and algorithms used in everyday applications. We will discuss the trade-offs involved with choosing each data structure, along with traversal, retrieval, and update algorithms. This is part 1 of a tw

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    Course Syllabus

    ● Algorithms and Data Structures 1: Linked List
        ◦ Introduction
        ◦ Node Chains
        ◦ Linked List
        ◦ Add Items
        ◦ Remove Items
        ◦ Enumerate
        ◦ Doubly Linked List
        ◦ Modern Implementations
        ◦ Summary and References
    ● Algorithms and Data Structures: Stack
        ◦ Introduction
        ◦ Push & Pop
        ◦ Stack (Linked List)
        ◦ Stack (Array)
        ◦ Postfix Calculator
        ◦ Other Implementations
        ◦ Summary and Reference
        ◦ Introduction
        ◦ Enqueue and Dequeue
        ◦ Linked List Implementation
        ◦ Array Implementation
        ◦ Priority Queue
        ◦ .NET and C++
        ◦ Summary and Reference
    ● Algorithms and Data Structures: Binary Trees
        ◦ Introduction
        ◦ What is a Tree?
        ◦ Binary Trees
        ◦ Adding Data
        ◦ Finding Data
        ◦ Removing Data
        ◦ Traversals
        ◦ Summary
    ● Algorithms and Data Structures: Hash Tables
        ◦ Introduction
        ◦ Hash Tables
        ◦ Hashing Overview
        ◦ String Hashing
        ◦ Adding Data
        ◦ Handling Collisions
        ◦ Growing the Table
        ◦ Removing Data
        ◦ Finding Data
        ◦ Enumerating
        ◦ Summary


Course Fee:
USD 29

Course Type:


Course Status:



1 - 4 hours / week

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