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Session 13
Algorithm and Programming (Python)

Fundamental Algorithms: Searching, Sorting, and Optimization

5 hours
Duration
8
Materials
6
Objectives
Session Overview

Implementation and analysis of fundamental algorithms including various searching and sorting techniques, optimization strategies, and their practical applications.

Learning Objectives
By the end of this session, you should be able to:
  • Implement and analyze linear and binary search algorithms
  • Master sorting algorithms: bubble, selection, insertion, merge, quick, heap sort
  • Understand algorithm stability, adaptability, and space requirements
  • Apply divide-and-conquer and dynamic programming strategies
  • Implement graph algorithms: DFS, BFS, and shortest path algorithms
  • Design and optimize algorithms for specific problem domains
Course Materials
Download materials for offline study and reference
Fundamental Algorithms Complete Reference (70 pages)
Available material
Sorting Algorithm Implementation and Analysis
Available material
Searching Techniques and Optimization
Available material
Divide-and-Conquer Algorithm Collection
Available material
Dynamic Programming Examples and Applications
Available material
Graph Algorithm Implementation Guide
Available material
60 Algorithm Implementation Challenges
Available material
Algorithm Visualization and Animation Tools
Available material