Artificial Intelligence and Robotics
Introduction to the Micro-Specialty
Background of Micro-Specialty Development
In the current era of rapid technological advancement, the field of artificial intelligence and robotics has become a global focal point. This trend has led to an explosive growth in the demand for professionals in related fields. The micro-specialty in artificial intelligence and robotics has emerged to meet the urgent need for interdisciplinary talent in the industry.
In recent years, the scale of the artificial intelligence industry has continued to expand, with the market size for AI robots reaching hundreds of billions, maintaining a growth rate of around 20%. The introduction of a series of policies such as the “New Generation Artificial Intelligence Development Plan” has injected strong momentum into the development of this field. As artificial intelligence technology deeply penetrates various industries, from industrial robots and smart factories in intelligent manufacturing to medical robots and smart medical devices in smart healthcare, and to delivery drones/robots and warehouse logistics robots in smart logistics, the application scenarios are constantly expanding. The demand for professionals skilled in artificial intelligence and robotics technology is becoming increasingly urgent, with a talent gap exceeding one million.
Introduction to the Micro-Specialty
This specialty closely integrates artificial intelligence technology with robotics technology, aiming to create an interdisciplinary, practice-oriented, and application-focused program. The core of the program revolves around artificial intelligence algorithms and robotics control technology, breaking down disciplinary barriers to combine AI algorithms with robotics, designing and developing intelligent robotic systems with certain engineering application value. Through this program, students will not only master core knowledge such as artificial intelligence algorithms and robotics control but also develop practical skills in designing, developing, and debugging intelligent robotic systems, enhancing their adaptability and competitiveness in emerging fields, thus enabling them to quickly meet industry development needs.
Training Objectives
This program targets the application fields of artificial intelligence and robotics, cultivating interdisciplinary engineering and technical talents who possess fundamental knowledge of artificial intelligence and robotics, can integrate AI algorithms with robotics for intelligent system design, development, and operation, and have a correct view of scientific ethics, values, and certain innovative application capabilities.
Target Audience
This program is aimed at undergraduate students from engineering disciplines such as computer science and technology, intelligent science and technology, robotics engineering, electronic information engineering, internet of things engineering, data science and big data technology, electrical engineering and automation, as well as medical fields like biomedical engineering and oral medicine technology, who have a strong interest in artificial intelligence and robotics technology and are academically capable. As long as students have a basic understanding of mathematics and computer science and are eager to expand their knowledge and skills in emerging technology fields, they can choose this micro-specialty.
Training Content
1. Basic Courses: Including “Introduction to Artificial Intelligence” and “Python Programming Language”, allowing students to gain a preliminary understanding of artificial intelligence and robotics, and master the use of AI algorithms and robotics programming tools.
2. Core Courses: Covering “Machine Vision”, “Robot Perception and Drive Technology”, “Fundamentals and Applications of Machine Learning”, establishing a solid theoretical knowledge system.
3. Practical Teaching: Setting up experimental courses, course design, and other practical components, such as “Intelligent Robot Development Practice” and “Robot Operating System and Applications”, enabling students to enhance their hands-on skills and problem-solving abilities through practice.
4. Frontier Expansion: Offering a course on “Applications of AI Generative Models”, introducing the latest industry developments and research achievements, broadening students’ horizons.
Career Prospects
From the perspective of employment prospects, graduates of this micro-specialty have a wide range of employment directions and bright prospects. At the enterprise level, graduates can engage in various hot fields such as artificial intelligence (visual cognition, human-computer interaction), intelligent vehicles (autonomous driving, assisted driving), smart healthcare, intelligent manufacturing, smart logistics, elderly care, and smart homes, working in technical research and development, product design, technical services, and more. Further education is also a choice for many graduates, as key domestic and international universities offer them opportunities to enhance their academic levels.
In terms of salary, according to research from Northeast University and related colleges, the average income of engineering and technical personnel in the robotics field far exceeds that of graduates from other majors during the same period, and those engaged in artificial intelligence-related work can expect even more considerable income. Overall, the micro-specialty in artificial intelligence and robotics, with its broad social demand and good employment prospects, is becoming a highly promising professional choice, opening the door for students to careers at the forefront of future technology.
ENDSource: Teaching Management OfficeEditor: Huang JinhuaReviewer: Ren Sihui