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Data Representation Chapter 13
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Data Representation Chapter 13

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Questions and Answers

What is a non-composite data type?

A data type that does not reference any other data types.

Which of the following is a user-defined data type?

  • Boolean
  • Integer
  • String
  • Enumerated data type (correct)
  • List two examples of non-composite data types.

    Integer, Boolean.

    A ______ data type can be defined without referencing another data type.

    <p>non-composite</p> Signup and view all the answers

    User-defined data types can only be composite data types.

    <p>False</p> Signup and view all the answers

    Give an example of a situation where an enumerated data type might be used.

    <p>To represent a list of possible colors.</p> Signup and view all the answers

    What is the significance of user-defined data types in programming?

    <p>They allow programmers to create custom data types that fit specific needs.</p> Signup and view all the answers

    Study Notes

    Data Representation Overview

    • Explores user-defined data types and their importance in programming.
    • Covers both non-composite and composite data types and their usage.
    • Discusses the design of appropriate user-defined data types for specific problems.

    File Organisation and Access Methods

    • Different methods of file organisation:
      • Serial
      • Sequential
      • Random
    • File access methods:
      • Sequential access
      • Direct access

    Key Concepts in Data Types

    • User-defined data types are tailored to match program requirements, based on primitive types or previously defined types.
    • Non-composite data types do not reference other data types and can be primitive or user-defined.

    Non-composite Data Types

    • Examples include primitive types and user-defined types.
    • Frequently used for special purposes.
    • Enumerated data types (specific list of items with an implied order) facilitate the creation of ordered sets.

    Practical Exercises

    • Selecting appropriate data types for various scenarios:
      • Name (string)
      • Student's mark (numeric)
      • Recorded temperature (float)
      • Start date for a job (date)
      • Item sold status (boolean)
    • Creating pseudocode for a record structure storing animal data:
      • Attributes to include: Name, Species, Date of Birth, Location, Birth status, Notes.

    Advanced Concepts

    • Introduction to hashing algorithms for data retrieval and storage.
    • Understanding binary floating-point real numbers:
      • Techniques for converting between binary and denary representations.
      • Normalisation of binary floating-point numbers.
    • Awareness of underflow and overflow occurrences in binary representation.
    • Insights into how binary representation can result in rounding errors.

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    Description

    This quiz covers Chapter 13 on Data Representation. You'll explore user-defined data types along with non-composite and composite data types. Understanding the design and choice of appropriate data types will be key to mastering this content.

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