Computational Thinking and Programming Quiz - 100 Questions

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Questions and Answers

What are the steps for problem solving in computational thinking and programming?

  • Analysing the problem, coding, testing, debugging, and executing
  • Developing an algorithm, coding, analysing the problem, testing, and debugging
  • Analysing the problem, developing an algorithm, coding, testing, and debugging (correct)
  • Coding, debugging, analysing the problem, developing an algorithm, testing

Which of the following is a mutable data type in Python?

  • List (correct)
  • Integer
  • String
  • Tuple

What is the purpose of flowcharts in computational thinking and programming?

  • To perform logical operations
  • To represent algorithms visually (correct)
  • To execute Python programs
  • To store data types

What is the execution mode where Python code is written and saved in a file before being executed?

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Which operator is used to test if a value is present in a certain data type in Python?

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Flashcards

Problem Solving Steps

Analyzing the problem, creating an algorithm, coding, testing, and debugging a solution

Mutable Data Type

A data type whose values can be changed after creation.

Flowcharts

Visual representations of algorithms using boxes and arrows

Script Mode

Python execution where code is saved in a file and then run.

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Python Testing Operator

'in' operator checks if a value exists in a data type.

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Algorithm

Step-by-step instructions for solving a problem.

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Python

A high-level programming language.

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Debugging

Locating and fixing errors in a program.

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Coding

Translating an algorithm into a programming language.

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Testing

Verifying that a program works as intended.

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Study Notes

Problem-Solving Steps in Computational Thinking and Programming

  • Identify the problem: define the problem and its constraints
  • Design: develop a plan or algorithm to solve the problem
  • Implement: translate the design into a programming language
  • Test: verify the correctness of the solution
  • Evaluate: assess the effectiveness and efficiency of the solution

Data Types in Python

  • Mutable data types: Lists, Dictionaries, Sets
  • Python data type mutability: values can be modified after creation

Purpose of Flowcharts

  • Visual representation of algorithms and programs
  • Simplify complex problems and programs
  • Identify logical flow and control structures
  • Aid in problem-solving and program design

Execution Modes in Python

  • Script mode: writing and executing code in a single session
  • Program mode: writing and saving code in a file before execution
  • Program mode advantage: code can be reused and edited

Operators in Python

  • in operator: test if a value is present in a certain data type (e.g. lists, strings, dictionaries)

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