Professional profile

The training of artificial intelligence professionals is aimed at enterprises in the artificial intelligence industry, software industry and information service industry in the Pearl River Delta region, to train application-oriented undergraduate talents in the design, development, testing and production management of artificial intelligence products (systems), integrated development and operation and maintenance of intelligent control systems, visual and voice intelligent product sales and after-sales technical services in the frontline of technical services.

The professional positions (groups) of artificial intelligence majors are mainly computer vision application development engineer, speech processing application development engineer, control system design and development engineer, etc.

Training objectives

This major is mainly aimed at the Guangdong-Hong Kong-Macao Greater Bay Area, and aims to cultivate the all-round development of morality, intelligence, physical fitness, the United States and labor. Students should have national feelings, healthy personality, international vision, craftsman spirit and innovation ability, master the basic theories and professional skills of artificial intelligence, have certain mathematical tool application and algorithm modeling, artificial intelligence programming, automatic control circuit design and other abilities, and have good comprehensive quality. Proficient in machine learning and deep learning technology, digital image processing technology, computer vision technology, natural language processing technology, embedded artificial intelligence and intelligent control technology, etc., with strong abilities in artificial intelligence algorithm application, deep neural network modeling, visual perception application and intelligent control system design. Can be engaged in intelligent service, intelligent control and intelligent inspection in the field of artificial intelligence product design, quality inspection, system maintenance, production management, product sales and after-sales technical service and other positions work.

Knowledge and ability

1. Engineering knowledge ability: systematically master natural science knowledge such as higher mathematics and engineering mathematics, subject basis, professional basis and professional knowledge of computer science, have a solid discipline foundation and a complete professional knowledge system, and can provide sufficient theoretical support for the analysis and solution of problems in the field of artificial intelligence.

2. Problem analysis ability: able to apply the basic principles of natural science and artificial intelligence technology science such as advanced mathematics and engineering mathematics, identify, describe and analyze practical engineering problems in the field of artificial intelligence,

and analyze practical engineering problems in the field of new information technology through literature research, in order to obtain a profound understanding of the corresponding practical engineering problems and draw effective conclusions.

3. Ability to design/develop solutions: fully understand the design requirements, design principles and design methods of integrated artificial intelligence systems or products. Be able to design solutions for practical engineering problems in the field of artificial intelligence, design intelligent products and systems that meet specific needs, be able to reflect the innovative consciousness of new information technology and artificial intelligence + in the design process, and consider the impact of artificial intelligence products on social, health, safety, law, culture and environment.

4. Ability of system integration and application research: Based on the scientific professional principles and scientific methods in the field of artificial intelligence, using the professional knowledge and ability learned, the application of actual intelligent system integration or research system in the field of artificial intelligence, including designing experiments, analyzing and interpreting whether the data is correct, and obtaining reasonable and effective conclusions on the research of artificial intelligence system through comprehensive information research.

5. Ability to use modern tools: to develop, select and use appropriate technologies, resources and modern information technology tools (commonly used office software, Python programming language, integrated development environment and other latest professional software) for practical engineering problems in the field of artificial intelligence, and to understand their respective advantages and disadvantages. Master the basic principles and operation methods of modern information technology professional equipment, and be able to choose and use professional equipment reasonably in comprehensive engineering.

6. Engineering and social ability: Be able to reasonably analyze and evaluate the impact of engineering practices and general engineering problem solutions in the field of artificial intelligence on society, health, safety, law and culture based on engineering related background knowledge, and understand the possible consequences and responsibilities due to the implementation of solutions, with a good sense of quality, environment, occupational health, safety and service.

7. Environment and sustainable development ability: able to understand and evaluate the impact of professional engineering practices on the environment and social sustainable development of general engineering problems in the field of artificial intelligence, and have a good environmental awareness.

8. Ability of professional norms: have correct political stance and viewpoint; Love labor, with the spirit of hard work; Have the spirit of honesty, diligence and innovation; Abide by the law, social ethics, professional ethics; Understand the relevant standards, norms, technological changes and ethical and moral requirements in the field of artificial intelligence at home and abroad, and abide by these norms and requirements in engineering practice, and fulfill their responsibilities;Have a sense of professional and social responsibility.

9. Individual and team ability: Be able to play the role of individual, team member and person in charge in multi-disciplinary team cooperation involving artificial intelligence, have good team cooperation ability and have certain leadership.

10. Communication skills: able to effectively communicate and communicate with industry peers and the public on general AI engineering issues, including writing reports and designing documents, presenting speeches, clearly expressing or responding to instructions. And have a certain international perspective, able to communicate and exchange in across-cultural context.

11. Project Management ability: understand and master the basic principles of engineering management and economic decision-making methods, and be able to apply in a multidisciplinary environment. Have the basic ability of project management and cost awareness.

12. Lifelong learning ability: with independent learning and lifelong learning awareness; Have the basic knowledge of new engineering such as artificial intelligence, and have the ability to continue to learn, adapt to development and innovate the theories and technologies in the field of artificial intelligence.

Professional characteristics of artificial intelligence

This major connects with the industries of the Greater Bay Area, follows the OBE concept of "student-centered, output-oriented and continuous improvement", and closely follows the needs of the industry to build talent training programs and curriculum systems, and cooperate with the government, schools and enterprises in training.

■ The training mode of integration of industry and education, science and education

Featuring the cultivation of new engineering talents, the major of Artificial Intelligence has built a professional knowledge system of interdisciplinary integration of artificial intelligence. For the artificial intelligence industry in the Guangdong-Hong Kong-Macao Greater Bay Area, relying on the key disciplines of control science and engineering and the teaching and research platform, and in accordance with the professional applied training concept, it has built the characteristics of application-oriented talent training integrating production and education, and jointly cultivated students' innovation ability.

■ Rich and colorful second class

To build an interdisciplinary extracurricular innovation practice platform for students and an interdisciplinary innovation project practice system for college students, build an implementation system for college students' innovation projects by means of artificial intelligence + industry application, and actively participate in various disciplinary competitions.

Core courses for Majors

Python language programming, digital signal processing, digital image processing, pattern recognition and machine learning, deep learning, computer vision, natural language processing, speech recognition, embedded artificial intelligence.

Practical Teaching

Campus concentrated practical teaching: electronic process practice A, artificial intelligence programming practice A, database project comprehensive practice, image recognition comprehensive practice, computer vision comprehensive design, electrical control and PLC comprehensive design, industrial robot and vision comprehensive design, intelligent language cognition and interaction comprehensive design, natural language processing comprehensive design, embedded artificial intelligence comprehensive design.

Enterprise practice teaching projects: online self-learning expansion module course, professional morality education, region, industry, enterprise research (1 out of 3), production practice, graduation practice, graduation design.

Teaching conditions

At present, the university has built 6 basic laboratories, 2 professional laboratories, 2 innovation laboratories and 4 student practice bases. At present, we continue to build new laboratories in batches, build practical teaching conditions that meet the development of modern information technology, and build high-level experimental teaching platforms. These laboratories can meet the daily teaching needs of students in this major in basic courses, specialized courses, the second class, practical teaching and other courses; In addition, the major also has 5 practice bases jointly built with well-known domestic enterprises in the field of artificial intelligence for students' centralized training.

Employment prospects

Featuring the cultivation of new engineering talents, the major of Artificial Intelligence has built a professional knowledge system of multi-disciplinary integration for the artificial intelligence

industry in the Guangdong-Hong Kong-Macao Greater Bay Area, relying on the key disciplines of control science and engineering and the teaching and research platform, and in accordance with the concept of composite applied training, to build the characteristics of application-oriented talent training that integrates production and education.

Teaching Staff

The professional teachers of artificial intelligence have 1 senior title, 4 associate senior titles and 2 intermediate titles; 2 of them have background in computer science and technology, 3 in intelligent science and technology, 1 in control science and engineering, 1 in pattern recognition and intelligent system; The mean age was 46. At the same time, 12 corporate engineers were hired as corporate mentors to participate in practical teaching such as internships and graduation projects.