Introduction to Problem-solving
Problem-solving is a crucial skill
in computer science. Here's a general approach:
- Analyze the Problem:
- Understand the problem statement: Carefully read and comprehend the problem
requirements.
- Identify inputs and outputs: Determine the data that needs to be provided to the
program and the expected results.
- Break down the problem: Divide the problem into smaller, more manageable
sub-problems.
- Develop an Algorithm:
- An algorithm is a step-by-step procedure for solving a
problem.
- Representations:
- Flowchart: A visual representation
using symbols like start/end, input/output, decision, and process.
- Pseudocode: An informal language that
resembles code but is easier to read and understand.
flowchart example
- Coding:
- Translate the algorithm into a specific programming
language (like Python).
- Write clean, well-structured, and readable code.
- Testing:
- Test cases:
Create different sets of input data to check if the program produces the
correct output.
- Types of testing: Unit testing, integration testing, system testing.
- Debugging:
- Identify and fix errors: Use debugging tools (like a debugger) to find and
correct errors in the code.
Decomposition
Decomposition is the process of
breaking down a large problem into smaller, more manageable sub-problems. This
makes the problem easier to understand and solve.
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