What are the main courses of the artificial intelligence major?

1. Artificial intelligence major.

What are the courses.

First you need a foundation in mathematics: advanced mathematics.

Linear Algebra, Probability Theory, Mathematical Statistics and Stochastic Processes, Discrete Mathematics, Numerical Analysis.

secondly, the accumulation of algorithms is needed: artificial neural networks, support vector machines, genetic algorithms and other algorithms; Of course, there are also algorithms that are needed in various fields, for example, if you want to let the robot navigate and map the location environment by itself, you need to study SLAM; In short, there are many algorithms, which take time to accumulate;

Then, you need to master at least one programming language, after all, the implementation of the algorithm still needs to be programmed; If you go deep into the hardware, some basic electrical courses are essential;

Artificial intelligence is generally not studied until graduate school, and undergraduates are just a little bit of water, after all, the basic courses required are too large.

The main area of the AI major is: machine learning.

Wait. The main prerequisite courses required are, signal processing, linear algebra, and calculus.

And programming (preferably with a base in data structures).

2. Employment prospects for artificial intelligence majors.

First: intelligence is one of the important trends in the future. With the development of the Internet, big data, cloud computing and Internet of Things and other related technologies will be popularized and applied one after another.

AI-related technologies will first be applied in the Internet industry, and then spread to other industries. Therefore, from the perspective of the overall development prospects, the development prospects of artificial intelligence-related fields are still very broad.

Second, the development of the industrial Internet will inevitably lead to the development of artificial intelligence. The Internet is currently developing from the consumer Internet to the industrial Internet, and the industrial Internet will comprehensively apply the Internet of Things, big data and artificial intelligence and other related technologies to empower the majority of traditional industries.

Third, artificial intelligence technology will become one of the essential skills for people in the workplace. With the gradual introduction of intelligent twins into the production environment, future employees will frequently communicate and cooperate with a large number of intelligent twins in the process of work, which puts forward new requirements for employees, that is, they need to master the relevant technologies of artificial intelligence.

From this point of view, mastering AI technology will become an inevitable trend in the future, and the education market for related skills will also usher in huge development opportunities.

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The main areas of the Artificial Intelligence major are: Machine Learning, Introduction to Artificial Intelligence (Search Method, etc.), Image Recognition, Biological Evolutionary Theory, Natural Language Processing, Semantic Web, Game Theory, etc. The prerequisite courses are signal processing, linear algebra, calculus, and programming (preferably with a foundation in data structures).

Main courses of artificial intelligence: "Artificial Intelligence, Society and Humanities", "Philosophical Foundations and Ethics of Artificial Intelligence", "Advanced Robot Control", "Cognitive Robots", "Robot Planning and Learning", "Bionic Robots", "Swarm Intelligence and Autonomous Systems", "Unmanned Technology and System Implementation", "Game Design and Development", "Computer Graphics", "Virtual Reality and Augmented Reality", "Modern Methods of Artificial Intelligence I", "Problem Expression and Solving", "Modern Methods of Artificial Intelligence II", " Machine Learning, Natural Language Processing, Computer Vision, and More.

Artificial intelligence involves many disciplines such as computer science, information theory, cybernetics, automation, bionics, biology, psychology, mathematical logic, linguistics, medicine and philosophy.

The above is the main thing to learn from artificial intelligence, if you find mine useful, thank you.

The main courses studied by AI majors during their university years include the core course group of artificial intelligence, mainly modern methods of artificial intelligence, machine learning, principles of nature, and computer vision;It also includes artificial intelligence platforms and tools courses, including unmanned driving technology, computer graphics, etcIn addition, there are courses in robotics, including bionic robots, robot planning and learning, cognitive robots, etc.

The main ones include artificial intelligence, electronics, computer, mathematics, introduction to artificial intelligence, programming basics, pattern recognition and machine learning, data structures and algorithms, algorithm analysis and design, computational intelligence, deep learning, image processing and machine vision.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application field has been expanding. Artificial intelligence can simulate the information process of human consciousness and thinking.

Artificial intelligence is not human intelligence, but it can think like a human being, and may surpass human intelligence.

1. Big data.

Big data, or big data, refers to the massive, high-growth, and diverse information assets that require new processing models to enable greater decision-making, insight, and process optimization. In other words, the ability to quickly obtain valuable information from various types of data is big data technology. Big data is the foundation for the upgrading and evolution of AI intelligence, and with big data, AI can continue to carry out simulation drills and move closer to real artificial intelligence.

2. Computer vision.

As the name suggests, computer vision is to let the computer have the ability to observe and recognize like the human eye, and further, it refers to the use of cameras and computers instead of the human eye to identify, track and measure the target, and further do graphic processing, so that the computer processing becomes more suitable for the human eye to observe or transmit to the instrument for detection.

3. Speech recognition.

Speech recognition technology is a high-tech technology that allows machines to convert speech signals into corresponding text or commands through the process of recognition and understanding. Speech recognition technology mainly includes three aspects: feature extraction technology, pattern matching criterion and model training technology. Speech recognition is the foundation of human-computer interaction, which mainly solves the problem of allowing machines to hear what people are saying clearly.

At present, the most successful implementation of artificial intelligence is speech recognition technology.

Artificial intelligence is a new technology science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Research in the field of artificial intelligence includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others.

Artificial Intelligence (AI) in English. It is a new technological science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and can produce a new intelligent machine that can respond in a similar way to human intelligence, and the research in this field mainly includes robots, language recognition, image recognition, natural language processing and expert systems.

Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application field is constantly expanding. Artificial intelligence can simulate the information process of human consciousness and thinking. Although AI is not human intelligence, it can think like a human and may eventually surpass human intelligence.

Advantages: 1. In terms of production, more efficient and low-cost machines and artificial intelligence entities replace various human abilities, and human labor will be greatly liberated.

2. The problems of the human environment will be improved to a certain extent, and fewer resources can meet greater needs.

3. Artificial intelligence can improve the ability of human beings to understand and adapt to the world.

Disadvantages: 1. Artificial intelligence replaces human beings to do all kinds of things, and the unemployment rate of human beings will increase significantly, and human beings will be in a state of helplessness to survive.

2. If artificial intelligence cannot be used rationally, it may be used by bad people to commit crimes, and then human beings will fall into panic.

3. If we can't control and use artificial intelligence well, we will be controlled and used by artificial intelligence, then human beings will perish and the world will become panicked.

51CTO Digital Talent Comes to the Question:

At present, the learning content courses of artificial intelligence major mainly include: machine learning, introduction to artificial intelligence (search methods, etc.), image recognition, biological evolution theory, natural language processing, semantic web, game theory, etc.

The required basic courses are mainly signal processing, linear algebra, calculus, and programming (with a foundation in data structures).

From a professional point of view, machine learning, image recognition, and natural language processing are all general directions, and as long as you are proficient in one of them, you are already very powerful. So don't read too much content, some you just need to master, and you need to choose a direction to learn in depth. In fact, strictly speaking, AI is not difficult to learn, but it is not easy to learn.

It requires a certain mathematical foundation and a period of accumulation.

Including artificial intelligence, electronics, computer, mathematics, introduction to artificial intelligence, programming basics, pattern recognition and machine learning, data structures and algorithms, analysis and design of algorithms, computational intelligence, deep learning, image dismantling processing and machine vision.

The main course areas of the AI major are: Machine Learning, Introduction to Artificial Intelligence (Search Method, etc.), Image Recognition, Biological Evolutionary Theory, Natural Speech Processing, Semantic Web and Game Theory. The main pre-courses required are:

Signal processing, linear algebra, calculus, and programming (preferably with a basic knowledge of data structures).

Artificial intelligence is a broad field, and artificial intelligence majors usually contain courses in the following areas:

1.Fundamentals of Mathematics: This is the most basic course in the field of artificial intelligence, including advanced mathematics, linear algebra, probability theory, etc.

2.Programming language: The most widely used programming language in the field of artificial intelligence is Python, so learning Python programming is also an important course for this major.

3.Data structures and algorithms: This is the foundation of AI applications, and learning to excite data structures and algorithms is essential to understand the basic principles and implementation methods of AI algorithms.

4.Machine learning: Machine learning is one of the most basic and commonly used techniques for artificial intelligence, including supervised learning, unsupervised fluid calling, semi-supervised learning, etc.

5.Deep learning: Deep learning is a machine learning technology, the core of which is neural networks, which involves the construction, training, and application of multi-layer neural networks.

6.Natural language processing: Natural language processing is the application field of artificial intelligence in language, including speech recognition, machine translation, information extraction, etc.

7.Machine vision: and glitzy machine vision is the application field of artificial intelligence in images, including image recognition, object tracking, image generation, etc.

8.Big data processing: Big data processing is the key to AI applications, including data preprocessing, data mining, data analysis, etc.

In conclusion, the AI major contains many important courses, which require a solid mathematical foundation and programming skills, combined with practical applications for in-depth exploration and research.

The core courses of the artificial intelligence major include: mathematics, statistics, computer, automation, etc., which are all core courses of the artificial intelligence major.

Artificial Intelligence, Electronics, Computer, Mathematics, Introduction to Artificial Intelligence, Fundamentals of Programming, Pattern Recognition and Machine Learning, Data Structures and Algorithms, Algorithm Analysis and Design, Computational Intelligence, Deep Learning, Image Processing and Machine Vision.

2. Artificial Intelligence Ethics Course Group. Specific courses: "Artificial Intelligence, Society and Humanities", "Philosophical Foundations and Ethics of Artificial Intelligence".

3. Science and engineering course group. The development of a new generation of artificial intelligence requires the joint efforts of experimental scientists and theoretical scientists in brain science, neuroscience, cognitive psychology, information science and other related disciplines to find breakthroughs in artificial intelligence.

4. Advanced robotics course group. Specific courses: "Advanced Robot Control", "Cognitive Robot", "Robot Planning and Learning", "Bionic Robot".

5. Artificial intelligence platform and tool course group. Specific courses: "Swarm Intelligence and Autonomous Systems", "Unmanned Driving Technology and System Implementation", "Game Design and Development", "Computer Graphics", "Virtual Reality and Augmented Reality".

Ask what are the use cases of artificial intelligence.