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Session 12
Algorithm and Programming Lab

Algorithm Implementation and Analysis Laboratory

5 hours
Duration
8
Materials
6
Objectives
Session Overview

Comprehensive algorithm implementation laboratory focusing on fundamental algorithms, performance analysis, optimization techniques, and empirical algorithm evaluation.

Learning Objectives
By the end of this session, you should be able to:
  • Implement and analyze fundamental sorting algorithms with performance comparison
  • Create searching algorithms and evaluate their efficiency on different datasets
  • Apply divide-and-conquer and dynamic programming to solve complex problems
  • Implement graph algorithms for network analysis and pathfinding
  • Design experiments to measure and validate algorithmic performance
  • Optimize algorithms for specific hardware and dataset characteristics
Course Materials
Download materials for offline study and reference
Algorithm Implementation Complete Library (80 pages)
Available material
Sorting Algorithm Comparison and Analysis Framework
Available material
Searching Algorithm Implementation and Testing Suite
Available material
Dynamic Programming Problem Collection
Available material
Graph Algorithm Visualization and Implementation
Available material
Performance Analysis and Benchmarking Tools
Available material
50 Algorithm Design and Optimization Challenges
Available material
Empirical Algorithm Evaluation Framework
Available material