Algorithm Basics
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Questions and Answers

What is a characteristic of an algorithm?

  • It is a set of instructions that can be carried out by a human
  • It is a way to organize and store data in a computer
  • It is characterized by finiteness, definiteness, effectiveness, and finiteness of description (correct)
  • It is used to solve a specific problem
  • What type of database organizes data into tables with defined relationships?

  • Dynamic database
  • Relational database (correct)
  • NoSQL database
  • Object-oriented database
  • What is a function of an operating system?

  • To manage computer hardware resources
  • To provide common services to computer programs
  • To allocate and deallocate memory for programs
  • All of the above (correct)
  • What type of data structure is a last-in, first-out (LIFO) data structure with push and pop operations?

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

    What type of network connects devices in a limited geographical area?

    <p>LAN (Local Area Network)</p> Signup and view all the answers

    What is a characteristic of a database?

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

    What is the function of process management in an operating system?

    <p>To create, run, and manage processes</p> Signup and view all the answers

    What type of algorithm breaks down a problem into smaller overlapping subproblems?

    <p>Dynamic programming algorithm</p> Signup and view all the answers

    What is a network topology in which devices connect to a central hub or switch?

    <p>Star topology</p> Signup and view all the answers

    What type of data structure is a hierarchical data structure with nodes and edges?

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

    Study Notes

    Algorithm

    • A set of instructions to solve a specific problem or perform a particular task
    • Characterized by:
      • Finiteness: The algorithm must always terminate after a finite number of steps
      • Definiteness: Each step must be precisely defined
      • Effectiveness: The algorithm can be carried out by a computer
      • Finiteness of description: The algorithm can be described in a finite amount of space
    • Types:
      • Recursive algorithms: Divide the problem into smaller instances of the same problem
      • Dynamic programming algorithms: Break down the problem into smaller overlapping subproblems
      • Backtracking algorithms: Find a solution by recursively exploring possible solutions

    Database

    • A collection of organized data that can be easily accessed, managed, and updated
    • Characteristics:
      • Persistence: Data is stored in a permanent storage device
      • Sharing: Multiple users can access the data concurrently
      • Data independence: Data is independent of the application program
    • Types:
      • Relational databases: Organize data into tables with defined relationships
      • Object-oriented databases: Store data in the form of objects
      • NoSQL databases: Store data in a variety of formats (e.g., key-value, document, graph)

    Operating System

    • Software that manages computer hardware resources and provides common services to computer programs
    • Functions:
      • Process management: Create, run, and manage processes
      • Memory management: Allocate and deallocate memory for programs
      • File system management: Create, delete, and manage files and directories
      • I/O management: Manage input/output operations between devices and programs
    • Types:
      • Single-user, single-tasking OS: Support one user and one task at a time (e.g., MS-DOS)
      • Multi-user, multi-tasking OS: Support multiple users and multiple tasks concurrently (e.g., Windows, Linux)

    Data Structure

    • A way to organize and store data in a computer so that it can be efficiently accessed and modified
    • Types:
      • Arrays: A collection of elements of the same data type stored in contiguous memory locations
      • Linked lists: A dynamic collection of elements, where each element points to the next element
      • Stacks: A last-in, first-out (LIFO) data structure with push and pop operations
      • Trees: A hierarchical data structure with nodes and edges
      • Graphs: A non-linear data structure with nodes and edges

    Computer Network

    • A collection of interconnected devices that communicate with each other to share resources
    • Types:
      • LAN (Local Area Network): Connects devices in a limited geographical area
      • WAN (Wide Area Network): Connects devices over a larger geographical area
      • Wi-Fi network: A wireless network that connects devices using radio waves
    • Network topologies:
      • Bus topology: A single cable connects all devices in a linear sequence
      • Star topology: Devices connect to a central hub or switch
      • Ring topology: Devices connect in a circular configuration
      • Mesh topology: Each device connects to every other device

    Algorithm

    • An algorithm is a set of instructions to solve a specific problem or perform a particular task
    • Characterized by finiteness, definiteness, effectiveness, and finiteness of description
    • Recursive algorithms divide the problem into smaller instances of the same problem
    • Dynamic programming algorithms break down the problem into smaller overlapping subproblems
    • Backtracking algorithms find a solution by recursively exploring possible solutions

    Database

    • A database is a collection of organized data that can be easily accessed, managed, and updated
    • Data is stored in a permanent storage device (persistence)
    • Multiple users can access the data concurrently (sharing)
    • Data is independent of the application program (data independence)
    • Relational databases organize data into tables with defined relationships
    • Object-oriented databases store data in the form of objects
    • NoSQL databases store data in a variety of formats (e.g., key-value, document, graph)

    Operating System

    • An operating system is software that manages computer hardware resources and provides common services to computer programs
    • Functions include process management, memory management, file system management, and I/O management
    • Process management involves creating, running, and managing processes
    • Memory management involves allocating and deallocating memory for programs
    • File system management involves creating, deleting, and managing files and directories
    • I/O management involves managing input/output operations between devices and programs
    • Single-user, single-tasking OS support one user and one task at a time
    • Multi-user, multi-tasking OS support multiple users and multiple tasks concurrently

    Data Structure

    • A data structure is a way to organize and store data in a computer so that it can be efficiently accessed and modified
    • Arrays are a collection of elements of the same data type stored in contiguous memory locations
    • Linked lists are a dynamic collection of elements, where each element points to the next element
    • Stacks are a last-in, first-out (LIFO) data structure with push and pop operations
    • Trees are a hierarchical data structure with nodes and edges
    • Graphs are a non-linear data structure with nodes and edges

    Computer Network

    • A computer network is a collection of interconnected devices that communicate with each other to share resources
    • Types of networks include LAN, WAN, and Wi-Fi
    • LAN connects devices in a limited geographical area
    • WAN connects devices over a larger geographical area
    • Network topologies include bus, star, ring, and mesh
    • Bus topology involves a single cable connecting all devices in a linear sequence
    • Star topology involves devices connecting to a central hub or switch
    • Ring topology involves devices connecting in a circular configuration
    • Mesh topology involves each device connecting to every other device

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    Description

    Learn about the characteristics and types of algorithms, including finiteness, definiteness, effectiveness, and more. Explore recursive algorithms and their applications.

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