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3.15 Problem Solving Techniques in Computing

3.15 Problem Solving Techniques in Computing

Problem solving is at the heart of computing and information sciences. Every pro-

gram, algorithm, and system is ultimately designed to solve a specific problem. Effec-

tive problem solving requires a combination of creative thinking, logical reasoning, and
systematic analysis. In computer science, problems are often complex, abstract, and

multi-dimensional. Therefore, students must learn structured techniques that help them

understand problems, design solutions, and implement them efficiently. This lecture
introduces key problem-solving techniques used in computing and demonstrates their

practical application through programming examples.

3.16 Nature of Problems in Computing

Problems in computing differ from everyday problems in several ways:

ˆ hey may involve large amounts of data T

ˆ hey often require precise definitions T
ˆ olutions must be efficient and correct S

ˆ onstraints such as time and memory must be considered C
Examples of computing problems include:

ˆ earching and sorting data S

ˆ ptimizing system performance O

ˆ esigning algorithms D
ˆ eveloping intelligent systems D

Understanding the nature of the problem is the first step toward solving it effectively.

3.17 General Problem-Solving Process

Most problem-solving techniques in computing follow a common structured process:

1. Problem Definition

2. Problem Analysis

3. Solution Design

4. Implementation

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