Artificial Intelligence

In the digital era, Artificial Intelligence (AI) has become one of the most influential and rapidly evolving fields. From virtual assistants and facial recognition in everyday life to breakthroughs in healthcare, finance, and automation, AI is transforming how humans interact with the world. Studying and researching AI not only allows students to acquire cutting-edge technologies but also opens up countless career opportunities in the future.

Program Introduction

The Artificial Intelligence (AI) program is an interdisciplinary field that integrates computer science, mathematics, statistics, data science, and cognitive science. This program aims to equip students with fundamental theories, methodologies, and technologies in artificial intelligence, enabling them to develop algorithms, process data, and design and optimize intelligent systems. 

Graduates will be prepared for careers in intelligent system development, data analysis, machine learning applications, computer vision, natural language processing, and other AI-related fields.

Program Objectives

This program is dedicated to cultivating well-rounded professionals with a solid foundation in mathematics and computer science, proficiency in core AI technologies, and strong theoretical and practical skills. Graduates will be expected to:

1. Master fundamental AI theories, algorithms, and technologies and apply them in real-world scenarios.

2. Analyze and solve complex AI-related problems and engage in innovative research.

3. Understand the relationship between AI and social, economic, legal, and ethical aspects while maintaining professional ethics and social responsibility.

4. Utilize modern computing technologies to develop intelligent systems, analyze data, and optimize software solutions.

5. Possess strong teamwork, innovation, and self-learning capabilities.

6. Work in government agencies, enterprises, research institutions, and educational organizations in AI-related positions.

Graduation Requirements

(I) Knowledge Requirements

1. Master fundamental AI theories, methodologies, and core technologies.

2. Have a strong foundation in mathematics, statistics, and computer science.

3. Understand the latest developments and trends in AI both domestically and internationally.

4. Be proficient in data structures, algorithm design, machine learning, deep learning, computer vision, and natural language processing.

5. Master the development process of AI projects and possess hands-on engineering skills.

(II) Skill Requirements

1. Demonstrate strong programming skills in languages such as C++, Python, and Java.

2. Master data analysis, deep learning, and neural network technologies to design and implement AI algorithms.

3. Possess interdisciplinary thinking to integrate AI technologies into solving real-world problems.

4. Work effectively in teams and contribute to AI-related projects.

5. Maintain continuous learning and innovation capabilities to adapt to AI’s rapid technological advancements.

(III) Quality Requirements

1. Exhibit professional ethics, social responsibility, and a strong sense of cultural literacy.

2. Develop a global perspective and understand AI’s applications and developments worldwide.

3. Possess strong communication skills for technical exchanges and teamwork.

4. Show an innovative mindset and apply AI technologies to meet societal needs.

Core Courses

• Mathematics and Computer Science Fundamentals: Advanced Mathematics, Linear Algebra, Probability and Statistics, Discrete Mathematics, Data Structures, Computer System Fundamentals

• Programming and Development: C++ Programming, Python Programming, Java Programming, Database Principles and Applications, Computer Networks, Operating Systems

• Core AI Courses: Machine Learning, Deep Learning, Natural Language Processing, Pattern Recognition and Computer Vision, Optimization Methods, Digital Image Processing, Introduction to AI

• Integrated Innovation Courses: Introduction to Intelligent Medicine, Smart Hospital Information Systems, Innovative Applications of Health IoT

• Enterprise Training: Corporate Training Course, Graduation Design and Research

Course Structure

The program consists of general education courses, AI fundamental courses, AI specialized courses, and practical training. The curriculum structure includes:

1. General Education Required Courses (36 Credits)

• Political Science, Contemporary Issues, College English, Physical Education, Innovation & Entrepreneurship Guidance, etc.

2. AI Fundamental Courses (51 Credits)

• Advanced Mathematics, Linear Algebra, Probability and Statistics, Discrete Mathematics

• C++ Programming, Python Programming, Java Programming, Data Structures

• Computer Networks, Operating Systems, Computer System Fundamentals

3. AI Specialized Courses (18.5 Credits)

• Machine Learning, Optimization Methods, Natural Language Processing, Digital Image Processing, Pattern Recognition & Computer Vision, Digital Signal Processing

4. Integrated Innovation Courses (12 Credits)

• Intelligent Medicine, Smart Hospital Information Systems, Health IoT Innovation Applications, Enterprise Training

5. Practical Training

• Various AI lab courses (C++ Programming Lab, Python Lab, Data Structures Lab, Database Lab, Machine Learning Lab, etc.)

• Course design, enterprise training, graduation design, and thesis writing

Research Directions

The main research directions in the Artificial Intelligence program include:

1. Machine Learning & Deep Learning – Research on neural networks, reinforcement learning, supervised and unsupervised learning.

2. Natural Language Processing (NLP) – Text analysis, speech recognition, machine translation applications.

3. Computer Vision – Image processing, facial recognition, object detection, autonomous driving technologies.

4. Intelligent Healthcare & Health Informatics – AI applications in medical diagnosis, health management, and smart healthcare.

5. Intelligent Robotics – Human-computer interaction, automation control, and robot perception & decision-making.

6. AI Ethics and Law – The impact of AI on society, ethics, and legal considerations.

Degree Awarded

Graduates of this program will be awarded a Bachelor degree.

Career Prospects

Graduates from the Artificial Intelligence program have extensive career opportunities in the following fields:

1. Internet & Technology Companies – AI Engineer, Data Scientist, Algorithm Engineer, Software Developer

2. Healthcare & Medical Industry – Smart Healthcare Data Analyst, Medical Imaging Analyst, Health Big Data Researcher

3. Finance & Business Analytics – Fintech Analyst, Intelligent Risk Control Engineer, Quantitative Analyst

4. Autonomous Driving & Smart Manufacturing – Computer Vision Engineer, Autonomous Driving Algorithm Researcher, Intelligent Robotics Developer

5. Academic & Research Institutions – AI Researcher, Data Science Researcher, Deep Learning Expert

6. Government & Public Services – Smart City Planning, Public Data Management, AI Ethics & Policy Research

Related Majors

• Computer Science and Technology

• Data Science and Big Data Technology

• Software Engineering

• Automation

• Information and Computational Science

• Intelligent Science and Technology

Top Universities Offering AI Programs

In China, universities with leading research and teaching in AI include:

1. Tsinghua University

2. Peking University

3. Zhejiang University

4. Shanghai Jiao Tong University

5. University of Science and Technology of China

6. Fudan University

7. Harbin Institute of Technology

8. Xi’an Jiaotong University

9. Beihang University

10. Nanjing University

Conclusion

The Artificial Intelligence program is one of the most promising fields of study, with rapid technological advancements and expanding applications. Whether pursuing academic research or industry careers, this program provides students with extensive knowledge and career opportunities. For students interested in intelligent technology innovation, data science, and intelligent system development, this is an ideal choice.