Programming Modules Quiz

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Questions and Answers

What is the primary purpose of a module in programming?

  • To create complex and unreadable code.
  • To perform a specific task within a program. (correct)
  • To duplicate code and avoid reuse.
  • To make code harder to maintain.

Which of the following is NOT a benefit of using modules in programming?

  • Faster development.
  • Better testing.
  • Simpler code.
  • Increased code complexity. (correct)

What is the term for the code that defines the actions of a module?

  • Module statement.
  • Module call.
  • Module execution.
  • Module definition. (correct)

Which of the following is NOT a rule for naming a module?

<p>The name can include spaces. (B)</p> Signup and view all the answers

How do you execute a module?

<p>By writing a module call statement. (D)</p> Signup and view all the answers

Which of the following best describes the structure of a module?

<p>A header indicating the start, and a body containing the module's statements. (C)</p> Signup and view all the answers

What is necessary to cause the statements within a module to be executed?

<p>The program must make a call to the module. (C)</p> Signup and view all the answers

In a top-down design, how are tasks broken down into modules?

<p>The overall task is decomposed into subtasks, which are further broken down if possible. (B)</p> Signup and view all the answers

What does a hierarchy chart show in relation to modules?

<p>The logical relationship and structure between modules. (D)</p> Signup and view all the answers

What is the primary characteristic of a local variable in the context of a module?

<p>It can only be accessed by statements within the same module. (C)</p> Signup and view all the answers

Flashcards

Module

A named block of code designed to perform a specific task within a larger program.

Calling a Module

The process of executing a module's code by using its name followed by parentheses.

Module Definition

The code that defines how a module works, including its actions and instructions.

Divide and Conquer

Dividing a large programming problem into smaller, manageable sub-problems. Each sub-problem is assigned a module.

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Local Variables

Variables declared within a module that are only accessible inside that module.

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Module Header

The starting point of a module, marking the beginning of its code block. It's like a title for the module, telling the program what the module does.

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Module Body

The set of statements within a module, these statements contain the instructions for the module's specific tasks.

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Top-Down Design

Breaking down a complex task into smaller, manageable subtasks, making the program easier to understand, write and debug.

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Study Notes

Programming Logic and Design - Chapter 5: Modules

  • Modules are groups of statements designed for specific tasks in a program
  • Complex programs are effectively broken down into smaller subtasks (divide and conquer)
  • This simplification enhances code readability and manageability.

Learning Objectives

  • 5.1 Introduction: Overview of modules
  • 5.2 Defining and Calling a Module: Defining and invoking modules
  • 5.3 Local Variables: Scope and usage of local variables
  • 5.4 Passing Arguments to Modules: Passing data between modules
  • 5.5 Global Variables and Global Constants: Introduction to global variables/constants
  • 5.6 Focus on Languages (Java, Python, C++): Implementation details in various languages

5.1 Introduction (1 of 2)

  • A module is a segment of code for accomplishing specific tasks
  • Large programs are divided into smaller modules to boost readability, testing, and reusability

5.1 Introduction (2 of 2)

  • Using modules improves code clarity
  • Modules are reusable and simplify testing.
  • Modules facilitate teamwork by dividing tasks

5.2 Defining and Calling a Module (1 of 7)

  • Module definition: the code that forms a module

  • Example module (showMessage()):

    • Module showMessage()
    • Display "Hello world."
    • End Module
  • To run the module: call it as a statement within the program.

    • Call showMessage()

5.2 Defining and Calling a Module (2 of 7)

  • Module names should be clearly descriptive
  • No spaces or punctuation marks in module names.
  • Cannot start with a number

5.2 Defining and Calling a Module (3 of 7)

  • Module Definitions consists two parts:
    • Header: starting point of module
    • Body: statements within module

5.2 Defining and Calling a Module (4 of 7)

  • To carry out statements within the module, a call has to be made to the module.
  • Program execution starts at main module

5.2 Defining and Calling a Module (5 of 7)

  • Flowcharting programs with modules illustrates each module separately.
  • Modules are depicted in a flow chart separately to improve visualization.

5.2 Defining and Calling a Module (6 of 7)

  • Top-down design is a step:by-step approach to create algorithms into modules.
  • Subtasks are identified and broken down.
  • Subtasks are then converted to coded modules.

5.2 Defining and Calling a Module (7 of 7)

  • A hierarchy chart visualizes the relationships between different modules in a program
  • Hierarchy charts abstract away program details, focusing on module interactions

5.3 Local Variables (1 of 3)

  • Local Variables: declared within a module and not accessible from outside the module.

5.3 Local Variables (2 of 3)

  • Variable scope: the part of the program where a variable is accessible.

5.3 Local Variables (3 of 3)

  • Duplicate variable names (in same scope): cannot have duplicate local variable names
  • Variables in different scopes can have same names (e.g. different modules).

5.4 Passing Arguments to Modules (1 of 3)

  • Arguments are data values sent to a module during a call
  • Parameters are variables that receive arguments

5.4 Passing Arguments to Modules (2 of 3)

  • Argument and parameter data types should be compatible

5.4 Passing Arguments to Modules (3 of 3)

  • Multiple arguments can be sequentially passed into a module.
  • Passing arguments by value/reference

5.5 Global Variables & Global Constants (1 of 2)

  • Global variables are accessible from any module in a program.
  • Avoid using global variables for better program structure and modularity. - They can lead to unintended side effects.

5.5 Global Variables & Global Constants (2 of 2)

  • Global constants: named constants available to all modules.
  • Global constants are preferable over global variables due to immutability.

5.6 Focus on Languages: Java (1 of 9)

  • In Java, modules are known as methods
  • Method definitions include:
    • Header: specifies method name
    • Body: statements executed when method is called

5.6 Focus on Languages: Java (2 of 9)

  • Method calls cause the program to jump to and execute statements within the method's body

5.6 Focus on Languages: Java (3 of 9)

  • Local Variables: declared and accessible only within scope of method

5.6 Focus on Languages: Java (4 of 9)

  • Passing arguments to methods: use parameter variables in the method header

5.6 Focus on Languages: Java (5 of 9)

  • Passing arguments to methods (continued)

5.6 Focus on Languages: Java (6 of 9)

  • Passing multiple arguments to Java methods

5.6 Focus on Languages: Java (7 of 9)

  • Arguments in Java methods are passed by value

5.6 Focus on Languages: Java (8 of 9)

  • Global constants in Java are declared outside method

5.6 Focus on Languages: Java (9 of 9)

  • Global constants in Java are accessible to methods within class.

5.6 Focus on Languages: Python (1 of 10)

  • Functions in Python are used for modularizing code
  • Define functions using the def keyword
  • Function definitions consist of: header and body

5.6 Focus on Languages: Python (2 of 10)

  • Calls executed by function names.

5.6 Focus on Languages: Python (3 of 10)

  • Indentation is crucial in Python for code blocks

5.6 Focus on Languages: Python (4 of 10)

  • Local variables are accessible only within functions.

5.6 Focus on Languages: Python (5 of 10)

  • Passing arguments to Python functions: parameter variables must match data type

5.6 Focus on Languages: Python (6 of 10)

  • Passing multiple arguments to functions

5.6 Focus on Languages: Python (7 of 10)

  • Arguments in Python functions are passed by value

5.6 Focus on Languages: Python (8 of 10)

  • Global variables defined outside functions

5.6 Focus on Languages: Python (9 of 10)

  • Global variables accessed in any function.

5.6 Focus on Languages: Python (10 of 10)

  • Python does not support true global constants, global variables can simulate

5.6 Focus on Languages: C++(1 of 8)

  • Functions are used for modular code in C++
  • Function definitions include a header (specifying the function name) and a body (statements).

5.6 Focus on Languages: C++ (2 of 8)

  • Function calls cause program execution to transfer to function; execution continues in that function; then back to main

5.6 Focus on Languages: C++ (3 of 8)

  • Local variables are accessible only inside functions

5.6 Focus on Languages: C++ (4 of 8)

  • Passing arguments to C++ functions: parameter variables need matching data type.

5.6 Focus on Languages: C++ (5 of 8)

  • Passing multiple arguments to functions.

5.6 Focus on Languages: C++ (6 of 8)

  • Arguments are passed by value in C++ functions.

5.6 Focus on Languages: C++ (7 of 8)

  • Reference variables in C++ enable modification of a variable, the value is directly passed.

5.6 Focus on Languages: C++ (8 of 8)

  • Global variables are accessible in any function. Global constants (declared outside functions) are accessible to all functions in a program.

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