Data Types and data structures

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Students must be able to explain the three classic data types: character, integer, real numbers.[edit]

There are three classic data types that are commonly used in programming languages: character, integer, and real numbers.

  1. Character data type: The character data type is used to represent individual characters, such as letters, digits, and symbols. It is typically implemented as a single byte of memory, which is sufficient to store most ASCII characters.
  2. Integer data type: The integer data type is used to represent whole numbers. It can be implemented using various sizes of memory, such as 8 bits, 16 bits, 32 bits, and so on, depending on the range of numbers that needs to be represented.
  3. Real number data type: The real number data type is used to represent numbers with fractional parts, such as 3.14 or 0.5. It is typically implemented using a floating point representation, which allows for a wide range of values but may result in some loss of precision.

These three data types are the basic building blocks of most programming languages and are used to represent the vast majority of data that is processed by programs.


Students must be able to explain the following primitive data types: byte, int, float/double, Boolean, char; and how they are used.[edit]

There are several primitive data types that are commonly used in programming languages:

Byte: The byte data type is an 8-bit integer that is typically used to represent small integers or as a unit of memory. It is often used to store data that is read from or written to external devices, such as files or network sockets.

Int: The int data type is a 32-bit integer that is used to represent whole numbers. It is typically used to store values that are within the range of -2147483648 to 2147483647.

Float/double: The float data type is a single-precision, 32-bit floating point number that is used to represent numbers with fractional parts. The double data type is a double-precision, 64-bit floating point number that is used to represent larger or more precise numbers with fractional parts.

Boolean: The Boolean data type is a logical data type that can take on one of two values: true or false. It is often used to represent the results of comparisons or other logical operations.

Char: The char data type is a single character that is typically stored as an 8-bit integer. It is often used to store single characters, such as letters, digits, and symbols.

These primitive data types are used to represent the basic building blocks of data in a programming language. They are often used to store simple values, such as numbers and characters, and can be combined to create more complex data structures, such as arrays and objects.


Students must be able to discuss the advantages and disadvantages for a programming language to define how strongly they are typed.[edit]

A programming language is said to be strongly typed if it has strict rules for how data can be stored and used. This means that variables must be declared with a specific data type, and the language will not allow operations to be performed on variables that are not of the appropriate data type.

There are several advantages to using a strongly typed programming language:

  1. Improved reliability: Because a strongly typed language enforces strict rules for how data can be used, it can help to prevent common programming errors such as type mismatches and null reference exceptions.
  2. Easier debugging: By catching type mismatches at compile-time, a strongly typed language can make it easier to identify and fix errors in the code.
  3. Improved performance: Some strongly typed languages can generate faster and more efficient code, as the compiler is able to make more optimization decisions based on the data types of variables.

However, there are also some disadvantages to using a strongly typed language:

More verbose code: Because variables must be declared with a specific data type, code in a strongly typed language may be longer and more verbose than code in a weakly typed language.

Reduced flexibility: Because variables must be of a specific data type, it may be more difficult to work with data that does not fit neatly into one of the predefined types.

In general, the decision to use a strongly typed or weakly typed programming language will depend on the specific needs and goals of the project. Strongly typed languages may be more suitable for large, complex projects where reliability and performance are important, while weakly typed languages may be more suitable for smaller projects or situations where flexibility is more important.


Students must be able to explain how the data structures store information, the operations that can be performed with them, and construct and work with 1D and 2D lists (limited to ArrayLists in Java) and strings.[edit]

Data structures are used to store and organize data in a way that is efficient for various operations. There are many different types of data structures, each with its own characteristics and uses. Some common data structures include:

Lists: Lists are ordered collections of items that can be of any data type. Lists can be implemented using arrays or linked lists, and can be one-dimensional (1D) or multi-dimensional (2D).

Arrays: Arrays are fixed-size data structures that store a sequence of items of the same data type. They can be one-dimensional (1D) or multi-dimensional (2D).

Linked lists: Linked lists are dynamic data structures that consist of a series of nodes, each containing a value and a reference to the next node in the list. Linked lists can be used to implement lists and queues.

Strings: Strings are data structures that are used to store and manipulate text. They are typically implemented as arrays of characters, and can be manipulated using a variety of string manipulation functions.

Operations that can be performed on data structures include:

  1. Insertion: Adding a new item to the data structure
  2. Deletion: Removing an item from the data structure
  3. Search: Finding an item in the data structure
  4. Sorting: Arranging the items in the data structure in a particular order