In which direction should learning computers go?

In terms of software engineering, the outlook is relatively good.

1. Giantization: It refers to the extremely high computing speed, large storage space, more powerful and perfect functions of the computer, which is mainly used in aerospace, military, meteorology, artificial intelligence, bioengineering and other disciplines.

2. Miniaturization: the inevitable development of large-scale and ultra-large-scale integrated circuits. Since the advent of the first microprocessor chip, the speed of development has increased day by day.

The integration of computer chips doubles every 18 months, while the integration of computer chips halves, which is Moore's law of the ratio of information technology development functions to **. The integration of computer chips is getting higher and higher, and the functions completed are getting stronger and stronger, so that the process and popularization rate of computer miniaturization are getting faster and faster.

3. Networking: the product of the close integration of computer technology and communication technology. Especially since the 90s of the 20th century, with the rapid development of inter, computer networks have been widely used in schools, enterprises, scientific research, families and other fields, more and more people have come into contact with and understand the concept of computer networks.

The computer network interconnects different computers with independent functions in different geographical locations through communication equipment and transmission media, and with the support of communication software, the computers in the network share resources, exchange information, and work together. The development level of the citation computer network has become an important indicator to measure the degree of national modernization and plays an extremely important role in social and economic development.

4. Intelligence: Computers can simulate human intellectual activities, such as learning, understanding, judgment, reasoning and other abilities. Have the ability to understand natural language, sounds, words and images, and have the ability to speak, so that the human machine can speak directly in natural language.

It can use existing and continuous learning knowledge to think, associate with which sails, reason, and draw conclusions, solve complex problems, and have the ability to collect memories and retrieve relevant knowledge.

The direction of the development of computers is as follows:

1. Pure technology research and development is the person who makes the wheel. For example, the research of operating systems, compilers, and AI algorithms. Including technologies such as quantum computers in the future. Now that domestic companies have started to take off, these changes in the future are a place to change the situation of the IT ecosystem.

2. Technology application. With the development of wireless communication and the development of Internet of Things devices, information technology is gradually integrated into all traditional industries. The application of information technology is a very broad field, and the need for talents is also very large.

3. Technical management. As the information system becomes larger and larger, there are fewer and fewer examples of success that can be achieved by individual efforts alone, and now almost all projects can be handled by one team. Project managers and product managers are born.

4. Technical auxiliary work. For example, market support needs to understand technology, be good at communication, be very familiar with the mainstream products of the industry, and can quickly implement technical solutions and implementation plans according to the needs of users. At the same time, he is good at protecting his company and cracking down on competitors.

5. Combine with a certain industry. When developers develop a set of real NB industry products, they often train several professionals for traditional industries, and because IT personnel are proficient in mathematics and model building, they are often put forward by the industry with many new ideas and methods. If these people make up for their expertise in the industry, they will often become technical experts in another industry.

It is developing in the direction of intelligence and miniaturization.

It is the development of intelligence and miniaturization.

Two directions, optical computer and biological computer.

There are two types: hyperscale and ultra-small.

Miniaturization, intelligence, networking, integration, and multi-technology.

Modern computers have powerful functions and running speeds, but compared with the human brain, its intelligence and logical ability still need to be improved, human beings are constantly exploring how to make computers better reflect human thinking, so that computers can have human logical thinking and judgment ability.

.Miniaturization.

Intelligent networking.

Integrated? The last one is not sure, but the first four are definitely correct, hehe, and the last one I will summarize the drops.

Classification of computer science majors.

Software Engineering: Mainly divided into software design, programming languages, and software testing. It belongs to the general direction of CS, there are more admission places, there are certain awards and disadvantages, and the job market is broad, but the salary is not too high.

Database: It is very related to the current cloud data and big data, and after graduation, you can focus on Yu as a database management engineer, but you need some work experience. Programming requirements are not high.

The competition for applications is relatively fierce, and other majors can also apply.

Computer Graphics Multi**: Intersect with artificial intelligence, computer networks, and software engineering. It is necessary to learn computer imaging, 3D animation, network image communication, etc.

Algorithms: Interdisciplinary, in addition to the academic background of computer science, it is best to have some background in biology, physics and chemistry. After graduation, many people become programmers.

System Architecture: This major is related to hardware, and requires a certain academic background in digital circuits. It's more tiring to learn, and you don't just need to write**.

But jobs are easy to find, and equipment manufacturers need such talents.

Human-computer interaction: Speech recognition and alphago are actually products of human-computer interaction. It is an interactive discipline of computer science, behavioral science, ergonomics, and design. Work experience is important when applying. It is difficult to find a job after graduation.

Computational Theory: A Theoretical Discipline. It's not easy to find a job.

MIS Management Information System: There are sub-engineering or business majors, one is more technical and the other is management.

Network. The direction of the development of computers:

1. Mega-sized. Megacomputing refers to the development of faster, more storage-capable, and powerful supercomputers. The computing power is generally more than 10 billion per second, and the content capacity is more than a few hundred megabytes, and it is mainly used in cutting-edge scientific and technological fields such as astronomy, meteorology, geological and nuclear technology, space shuttles, and satellite orbit calculations.

The technological level of supercomputers is an important indicator of a country's level of technological and industrial development.

2. Miniaturization. Miniaturization refers to the use of microelectronics technology and VLSI technology to further reduce the size of computers. The miniaturization of computers has become an important direction of computer development, and the advent of a large number of various notebook computers and PDAs is a sign of computing miniaturization.

3. Networking. Network technology can better manage the resources on the network, it makes the entire Internet an unprecedentedly powerful integrated system, like a giant machine, in this dynamically changing network environment, to achieve the comprehensive sharing of computing resources, storage resources, data resources, information resources, knowledge resources, and expert resources, so that users can enjoy flexible control, intelligent, collaborative information services, and obtain unprecedented convenience of use.

4. Intelligent. Computer intelligence refers to the ability of computers to simulate human feelings and thought processes. Intelligent research includes simulation recognition, object shape analysis, natural language generation and understanding, games, automatic proof of theorems, automatic program design, expert systems, learning systems, and intelligent robots.