Course Overview

This course covered fundamental data structures & algorithms and their implementations. Key areas included:

Basic Data Structures

• Arrays and dynamic arrays
• Linked lists (singly and doubly linked)
• Stacks and queues
• Hash tables and collision resolution

Trees and Graphs

• Binary trees and binary search trees
• AVL and Red-Black trees
• Heaps and priority queues
• Graph representations and traversals
• Minimum spanning trees

Analysis and Implementation

• Time and space complexity analysis
• Implementation tradeoffs
• Memory management considerations
• Iterator patterns and implementations

Algorithm Analysis

• Big O notation
• Asymptotic analysis
• Recurrence relations

Sorting and Searching

• Comparison-based sorting algorithms
• Linear sorting algorithms
• Binary search and variants
• Selection algorithms

Algorithm Design Paradigms

• Divide and conquer
• Dynamic programming
• Greedy algorithms
• Backtracking