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Python Tutorial - 2 - Class 11 Computer Science
Introduction to Problem Solving
Problem and Problem Solving
In computer science, "problem" refers to a task or challenge that requires a solution. The process of identifying a problem, developing an algorithm, and implementing the algorithm to develop a computer program is called Problem Solving. Computers may be used to solve various daily life problems such as Train Ticket Booking, Online Shopping and Net-Banking etc.
Steps required for solving a problem
Analyzing the Problem
This stage focuses on understanding the problem. If we do not have a clear understanding of the problem, we may develop a computer program that cannot solve the problem correctly. In this stage, we figure out the inputs, the outputs and the processing required to convert the input into the output.
Developing Algorithm
This stage focuses on creating a logical sequence of instructions, called an Algorithm. An algorithm has a distinct start and end point, as well as a defined number of steps. For a given problem, more than one algorithm may be possible and the most suitable algorithm may be chosen.
Qus - 1: Write an Algorithm for finding whether a number is Even or Odd
START
Step 1 → Take an integer number A
Step 2 → Divide A by 2, and store the remainder as r
Step 3 → If r is equal to 0, A is an Even Number
Step 4 → Else it is an Odd Number
STOP
Qus - 2: Write an Algorithm for finding whether a number is a Prime number or Not
START
Step 1 → Take an integer number A
Step 2 → Continuously divide A with integers ranging from 2 to A-1
Step 3 → If a is divisible by any value from 2 to A-1, it is not prime
Step 4 → Else it is prime
STOP
Coding
Coding is the process of creating computer programs.
Testing
Testing is a process to check if an application is working as expected (and not working abnormally). The main objective of Testing is to find errors.
Debugging
Debugging is the activity to fix the errors found in the application during the testing phase.
Representation of Algorithms
There are two common methods of representing an algorithm —flowchart and pseudocode.
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