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Revision notes with simplified explanations to understand Order of Steps in Problem Solving quickly and effectively.
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Solving a problem in computer science requires a clear and logical sequence of steps. Determining the correct order of steps ensures that algorithms and programs work as intended. Understanding how to structure these steps is essential for writing efficient and error-free code.
This note covers how to identify, arrange, and represent the steps needed to solve a problem using pseudocode, flowcharts, and code.
Example:
START
INPUT temperature
IF temperature > 30 THEN
PRINT "It's hot"
ELSE
PRINT "It's not hot"
ENDIF
END
Example: Start → Input Temperature → Decision: Is temperature > 30? → Yes: Print "It's hot" → No: Print "It's not hot" → End.
Example in Python:
temperature = int(input("Enter temperature: "))
if temperature > 30:
print("It's hot")
else:
print("It's not hot")
Problem Statement: Design a program for a vending machine that dispenses a drink when the correct amount is inserted.
Steps in Order:
START
DISPLAY "Select a drink:"
INPUT drink
DISPLAY "Insert money:"
INPUT money
WHILE money < price[drink] DO
DISPLAY "Insufficient funds, insert more money:"
INPUT additional_money
money = money + additional_money
ENDWHILE
DISPENSE drink
IF money > price[drink] THEN
RETURN change
ENDIF
END
Flowchart:
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