Вопрос задан 26.05.2023 в 02:44. Предмет Английский язык. Спрашивает Глотов Никита.

Ответьте пожалуйста на вопросы!!!! 1. What capabilities should data-processing systems combine

when designed? 2. What are the main advantages of comput- ers? 3. What do you know of computers accuracy? 4. What is the function of communication networks? 5. Give examples of a data communication network. 6. What do you understand by capacity storage? 7. What other values of computer data pro- cessing systems do you know? 8. What is an important objec- tive in the design of computer data processing systems? 9. What is the most effective computer data processing system? 10. What is the best way of responding to the challenges and opportuni- ties of our post-industrial society?
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Отвечает Фіда Сергій.

Ответ:

1. What capabilities should data-processing systems combine when designed? 1. Какие возможности должны объединять системы обработки данных при проектировании?  

Computer-oriented data processing systems or just computer data processing systems are not designed to imitate manual systems. They should combine the capabilities of both humans and computers. Computer data processing systems can be designed to take advantage of four capabilities of computers.  

2. What are the main advantages of computers? 2. Каковы основные преимущества компьютеров?

Accuracy. Ease of communications. Capacity of storage. Speed.  

3. What do you know of computers accuracy? Что вы знаете о точности компьютеров?

Once data have been entered correctly into the computer component of a data processing system, the need for further manipulation by humans is eliminated, and the possibility of error is reduced. Computers, when properly programmed, are also unlikely to make computational errors. Of course, computer systems remain vulnerable to the entry by humans of invalid data.  

4. What is the function of communication networks? Какова функция сетей связи?  

Data, once entered, can be transmitted wherever needed by communications networks. These may be either earth or satellite-based systems. A travel reservations system is an example of a data communications network. Reservation clerks throughout the world may make an enquiry about transportation or lodgings and receive an almost instant response. Another example is an office communications system that provides executives with access to a reservoir of date, called a corporate data base, from their personal microcomputer work stations.    

5. Give examples of a data communication network. Приведите примеры сети передачи данных.  

Coaxial cable, twisted pair of wires, light guide.  

6. What do you understand by capacity storage? Что вы понимаете под хранилищем емкости?

Computers are capable of storing huge amounts of information, organizing it and extracting it in ways that go far beyond human capabilities. The amount of data that can be stored on devices such as magnetic disks is constantly increasing. All this time, the cost of one character of stored data is reduced.  

7. What other values of computer data processing systems do you know? Какие еще значения компьютерных систем обработки данных вы знаете?

Collection and input of initial data into the computer system. Data processing in order to obtain results. Placement and storage of data in the system memory  

8. What is an important objective in the design of computer data processing systems? Какова важная цель при проектировании компьютерных систем обработки данных?

An important goal when designing computer data processing systems is to allow computers to do what they do best and free people from routine, error-prone tasks.  

9. What is the most effective computer data processing system? Какая система компьютерной обработки данных является наиболее эффективной?

The most economical computer data processing system is the one that performs its work efficiently and at the lowest cost.  

10. What is the best way of responding to the challenges and opportunities of our post-industrial society? Каков наилучший способ реагирования на вызовы и возможности нашего постиндустриального общества?

By using computers in a cost-effective way, we will be able to better respond to the challenges and opportunities of our information-dependent post-industrial society.

Объяснение:

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Отвечает нейросеть ChatGpt. Будьте внимательны, ответы нейросети могут содержать ошибочные или выдуманные данные.
  1. When designed, data-processing systems should combine several capabilities, including data collection, storage, processing, analysis, and retrieval. They should also have the ability to handle large volumes of data, ensure data security and privacy, support real-time processing if necessary, and provide scalability and flexibility to adapt to changing requirements.

  2. The main advantages of computers are:

  • Speed and efficiency: Computers can perform complex calculations and tasks much faster than humans, enabling increased productivity and faster decision-making.
  • Storage capacity: Computers can store vast amounts of data in various forms, from text documents to multimedia files.
  • Automation: Computers can automate repetitive tasks, freeing up human resources for more complex and creative work.
  • Accuracy: Computers can perform tasks with a high degree of precision and consistency, reducing human errors.
  • Connectivity: Computers can be connected to networks and the internet, facilitating communication, collaboration, and access to a vast amount of information.
  • Versatility: Computers can be programmed to perform a wide range of tasks, making them suitable for diverse applications across various industries.
  1. Computers are generally highly accurate in their operations. They perform calculations and execute instructions with a high level of precision, typically limited only by the inherent limitations of their hardware components. However, errors can occur due to software bugs, hardware faults, or data corruption. To ensure accuracy, computer systems employ error detection and correction mechanisms and undergo rigorous testing and quality control processes.

  2. The function of communication networks is to enable the exchange of information and data between different devices or systems. Communication networks facilitate data transfer, sharing resources, and enabling collaboration among users. They provide a means for transmitting data in the form of text, audio, video, or any other digital format over long distances. Communication networks can be wired or wireless and can range from local area networks (LANs) within a small area to wide area networks (WANs) that span across cities or even continents.

  3. Examples of data communication networks include:

  • The Internet: A global network that connects millions of devices worldwide, allowing communication, information sharing, and access to various services.
  • Ethernet: A common wired network technology used in local area networks (LANs) to connect devices within a limited area, such as an office or home.
  • Wi-Fi: A wireless network technology that enables devices to connect to the internet or other devices without the need for physical cables.
  • Cellular networks: Mobile communication networks that provide wireless connectivity to mobile devices, allowing voice calls, messaging, and internet access.
  • Virtual Private Networks (VPNs): Secure networks that use encryption and tunneling protocols to establish a private and secure connection over a public network, such as the internet.
  1. Capacity storage refers to the ability of a computer system to store and manage large amounts of data. It involves the physical storage devices (such as hard disk drives, solid-state drives, or tape drives) and the associated software and infrastructure necessary to organize, access, and retrieve the stored data. Capacity storage is essential for handling the ever-increasing volume of data generated by individuals, organizations, and systems.

  2. Other values of computer data processing systems include:

  • Efficiency: Computer systems can perform tasks much faster and more efficiently than manual methods, saving time and resources.
  • Scalability: They can handle growing data volumes and user demands by scaling up hardware resources or leveraging distributed computing architectures.
  • Decision support: Computer systems can analyze data, provide insights, and support decision-making processes.
  • Automation and productivity: They can automate repetitive tasks, streamline workflows, and improve overall productivity.
  • Data integration and consolidation: They can consolidate data from various sources, enabling a unified view for analysis and decision-making.
  • Innovation and creativity: Computer systems can be used to explore new ideas, develop new technologies, and foster innovation in various fields.
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