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Data Structures and Algorithms

Memorial University of Newfoundland via YouTube

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Overview

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Explore key concepts in computer science through a comprehensive lecture series covering templates, algorithm analysis, sorting techniques, data structures like linked lists and trees, graph theory, and hashing. Delve into advanced topics such as mergesort analysis, AVL trees, depth-first search, and centrality in graphs. Gain practical knowledge applicable to software development and problem-solving in various computational domains.

Syllabus

Templates.
Algorithm Analysis.
Sorting (Part 1).
Mergesort analysis.
Sorting (Part 2).
Linked Lists.
Stacks.
Tree Traversal.
Binary search trees.
BST node removal.
AVL Trees (Part I).
AVL Double Rotation.
Graph Basics.
Path lengths.
Acyclic Graphs.
Centrality.
Depth-first search.
Introduction to Hash Tables.
More Hashing.

Taught by

Jonathan Anderson Cantab

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Reviews

5.0 rating, based on 1 Class Central review

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  • April Jones
    the course was very informative , and went in depth to allow me to acquire the knowledge needed to further understand data structures and algorithms .
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