Solving Problems with Algorithms, making things simple
- 1. Introduction to Algorithms Solving Problems Step by Step
- 2. What is an Algorithm? Definition: A step-by-step procedure to solve a problem or perform a task.
- 3. Why Use Algorithms? • Efficiency: Saves time and effort. • Accuracy: Reduces errors with precise instructions. • Replicability: Can be reused for similar problems.
- 4. • Cooking Recipe • Directions to a Location • Math Calculations Everyday Examples
- 5. • Problem: Organize a list of numbers in ascending order. • Solution: Use a sorting algorithm (e.g., Bubble Sort). Example Algorithm: Sorting
- 6. • Step 1: Compare adjacent elements. • Step 2: Swap if in the wrong order. • Step 3: Repeat until the list is sorted. Bubble Sort Explained
- 7. Pseudocode for Bubble Sort
- 8. • Simple to Understand • Good for Small Datasets • Easy to Implement Benefits of Bubble Sort
- 9. • Inefficient for Large Lists • Better Algorithms Available (e.g., Quick Sort, Merge Sort) Limitations of Bubble Sort
- 10. • Computer Science: Data processing, searching • Biology: DNA sequencing • Finance: Risk assessment Applying Algorithms in Real Life
- 11. • Recap: Algorithms are essential for problem-solving. • Encouragement: Explore more algorithms beyond sorting. Conclusion
- 12. Any questions or examples of algorithms you use daily? Questions and Discussion
- 13. Thank You!