Data Structures and Algorithms

12 lectures

Lecture notes and study resources for this subject.

01Lecture 01 · Data Structures and Algorithm Design

02Lecture 02 · Algorithm Analysis: From Basic Operations to Asymptotic Notation

03Lecture 03 · Analyzing Recursive Algorithms

04Lecture 04 · Abstract Data Types: Stacks, Queues, Lists, and Vectors

05Lecture 05 · Trees and Heaps

06Lecture 06 · Heaps, Priority Queues, Dictionaries, and Hash Tables

07Lecture 07 · Hashing and Binary Search Trees

08Lecture 08 · Greedy Method

09Lecture 09 · Divide and Conquer

10Lecture 10 · Integer Multiplication, Graph Basics, and Dijkstra's Algorithm

11Lecture 11 · Minimum Spanning Trees and Dynamic Programming

12Lecture 12 · Matrix Chain Multiplication and Complexity Classes

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