Problem Solving

The 7 steps to problem-solving are:

• Identify the problem: Clearly define the issue.
• Gather information: Collect relevant data to understand the problem.
• Analyze the problem: Break down the issue into smaller parts and identify root causes.
• Generate solutions: Brainstorm potential ways to address the issue.
• Evaluate solutions: Weigh the pros and cons of each option.
• Implement the best solution: Execute the chosen strategy.
• Monitor and reflect: Assess the solution’s effectiveness and refine it as necessary.

• Top-down approach: This starts with a high-level overview of the problem and breaks it into smaller, manageable parts. It’s strategy-driven, focusing on the big picture before delving into details.
• Bottom-up approach: This begins by addressing the smallest components of a problem and gradually builds toward a comprehensive solution. It’s detail-driven, focusing on specifics that aggregate into the big picture.

Pattern identification in computing involves recognizing recurring structures, trends, or regularities in data or processes. This is critical in areas like:

• Algorithm design: Creating efficient solutions by spotting repeatable processes.
• Data analysis: Detecting trends for decision-making.
• Machine learning: Training models to identify and predict patterns.

It streamlines problem-solving and enables systems to operate more effectively and predictively.