Explore different problem-solving strategies that are essential for personal growth, academic success, and sustained professional achievement.

Computer Science Bootcamp

Problem-solving skills empower individuals to adapt and face challenges resiliently, resulting in efficiency, innovation, and effective decision-making. This versatile skill set is more than an immediate problem-solving tool; it is a lifelong asset essential for personal growth, academic success, and sustained professional achievement.

In this module, you’ll learn and apply Polya’s problem-solving process, using it as your guide to tackle various games and puzzles. Additionally, you’ll explore different problem-solving strategies, including the top-down approach, bottom-up approach, divide and conquer, stepwise refinement, analogy, and induction/pattern identification.

After completing this module, you’ll acquire the expertise to apply Polya’s systematic approach to resolving intricate problems and establish the groundwork for a lifelong skill set. This comprehensive understanding will empower you to master effective strategies for problem-solving.

Learn Problem-Solving with Pólya

# Problem

A farmer has a fox, a duck, and a sack of corn, and they need to get all of them across a river from one bank to another. However, they can only carry one item at a time in the boat. They also need to be careful because if they leave the fox with the duck, the fox will eat it. If they leave the duck with the sack of corn, the duck will eat the corn.

Get an overview of the problem in this chapter and try to understand it.

Introduction

Measuring Quantities with a Bottom-Up Approach

Solving the Farmer’s Dilemma by Embracing a Top-Down Approach

Using an Analogy for Calculating the Length of Wire

Unveiling the Bear’s Color with a Stepwise Refinement Strategy

Using Divide and Conquer to Win the Number Guessing Game

Applying Divide and Conquer for Mastering Minesweeper

Cherishing Gauss’s Genius of Spotting Patterns

Utilizing Pattern Identification for Counting

Conclusion

Understanding the Problem

Problem