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Questions and Answers
What is a non-composite data type?
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?
Which of the following is a user-defined data type?
List two examples of non-composite data types.
List two examples of non-composite data types.
Integer, Boolean.
A ______ data type can be defined without referencing another data type.
A ______ data type can be defined without referencing another data type.
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User-defined data types can only be composite data types.
User-defined data types can only be composite data types.
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Give an example of a situation where an enumerated data type might be used.
Give an example of a situation where an enumerated data type might be used.
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What is the significance of user-defined data types in programming?
What is the significance of user-defined data types in programming?
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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.
