Program code: 080717T

Study mode: Full-time

Duration: 4 Years

Degree conferred: Bachelor of Engineering

Teaching School: School of Future Technology

Program Overview

As an international base of electronic industries, the Guangdong-Hong Kong-Macau Greater Bayare in huge demands for AI-related talents.

The program of Artificial Intelligence takes advantage of the local industrial resources in electricsand information, pivots around industrial needs to develop an inter-disciplinary education approach.With an eye on the latest of the industry and introducing innovation from industry into university, weaim to build a channel between talent-cultivation and industrial knowledge creation.

Through theprovision of rich experiment courses and hands-on practice courses, we are dedicated to producing toptalents with innovation skills and global outlook that caters to the needs of future AI technologydevelopments.

The curriculum system of this program emphasizes solid math foundation (with coursesuch as Calculus, Linear Algebra & Analytic Geometry, Probability & Mathematical Statistics, etc.)and computational sills (with course such as Data Structure, Advanced Language Programming, etc.).With these foundations, we then add AI theory and technology courses (such as Machine Learning,Deep Learning and Computer Vision, 3D Vision Intelligence ， etc.) and on top of that, provideintelligent hardware and inter-disciplinary courses (such as Circuit Analysis and Fundamentals ofElectronic Circuits, Digital Logic Circuits, Intelligent Hardware and Interactive Design, AI ChipDesign, etc.).

This program involves courses that introduce rich theoretical knowledge and technical methods innatural science, engineering technology, and information technology. With particular focus onindustrial needs and emphasis on an inter-disciplinary approach, we are constantly deepening theindustry-university link.

Upon graduation, students can choose between pursuing master or doctorallevel study and finding technical and managerial jobs in AI+ industries, such as smart healthcare,smart education, smart finance, smart cities, smart transportation, and smart power.

Educational Objectives

The Artificial Intelligence (AI) program aligns with the national AI development strategy,drawing on the historical opportunities in global AI advancement and the information industrydevelopment needs of the Guangdong-Hong Kong-Macao Greater Bay Area. Its goal is tocultivate AI leaders who excel in all aspects of character development with solid professionalknowledge, including moral, intellectual, physical, aesthetic, and labor skills, as well as instillinga sense of national pride and a global perspective. These leaders possess outstanding 'threepowers' (learning power, thinking power, and action power) and are capable of internationalcooperation and competition, embodying the 'three creative abilities' (innovation, creation, andentrepreneurship). The specific objectives include the following four goals:

1. To uphold the core values ofsocialism, cultivate a strongfoundation in humanities and social sciences, and foster a sense of social responsibility. Studentswill accurately comprehend and evaluate the potential impact of their AI technological practiceson society. They will also be familiar with the laws and regulations in the field of artificialintelligence and adhere to professional ethical standards. (Moral literacy)

2. To develop a solid foundation in the fundamentals, basic skills, andscientific research qualities of the field of artificial intelligence. Students will possess the abilityto apply AI theories and methods in an interdisciplinary manner to solve key technological issuesin various industries. They will also demonstrate comprehensive skills in innovation and have thepotential to lead technological advancements in the industry. (Professional literacy)

3. To cultivate individuals who possess a team-oriented mindset andcan work independently, collaborate effectively, and provide leadership within teams in professional and multidisciplinary contexts related to artificial intelligence. They will have theability to communicate and exchange ideas with industry peers and the general public on complextechnology application issues in the field of AI. (Communication and collaboration ability)

4. To cultivate individuals with an international perspective, whoconstantly expand and enhance their professional literacy and application abilities in the field of artificial intelligence. They will be able to stay updated with the latest developments in the AI field, acquire and update knowledge, and possess the ability for lifelong learning. (Lifelong learning ability)

Upon completion of the four-year program, graduates will be equipped to work in varioussectors such as enterprises, research institutions, higher education institutions, and publicorganizations. They will be capable of engaging in AI research, design, development, andmanagement, driving innovative applications of AI technology in industries such as the internet,healthcare, finance, education, transportation, and energy.  

Within approximately five years aftergraduation, they will emerge as innovative technology leaders, key engineering managers, andprofessional market pioneers in the field of artificial intelligence.

Student Outcomes

• Engineering Knowledge: An ability to use basic knowledge of mathematics, natural science,calculation and engineering as well as engineering expertise to develop solutions to AI-relatedcomplex engineering problems.

• Problem Analysis: An ability to use the first principle of mathematics, natural science andengineering science to identify, formulate, study and analyze AI-related complex engineering problems, draw valid conclusions and consider sustainable development as a whole.

• Design/Development of Solutions: An ability to design creative solutions for AI-related complex engineering problems, and design systems, components or processes to meet identified needs, taking due account of public health and safety, the cost of the entire life cycle, net zero carbon,and resource, cultural, social and environmental factors.

• Research: An ability to use research methods to study AI-related complex engineering problems and systems, including research based knowledge, design experiments, analysis and interpretation of data, and synthesis of information to provide effective conclusions.

• Use of Tools: An ability to create, select, and apply appropriate technologies of ArtificialIntelligence, resources, and modern engineering and information technology tools, includingprediction and modeling, and recognize their limitations to solve AI-related complex engineeringproblems.

• Engineers and The World: An ability to analyze and evaluate the results of sustainable development, and the impact of society, economy, sustainability, health and safety, law andenvironment in solving AI-related complex engineering problems.

• Ethics: An ability to apply ethical principles to the practice and standardization of professional ethics projects in the field of Artificial Intelligence; and comply with relevant nationaland international laws. Demonstrate the need to understand diversity and inclusion.

• Individual and Collaborative Team Work: An ability to Effectively play a role as an individual, member or leader with a background in Artificial Intelligence in a diverse and inclusiveteam, as well as in a multidisciplinary, remote and distributed environment.

• Communication: An ability to effective and inclusive communication with the engineeringcommunity and the whole society in AI-related complex engineering activities, including writingandunderstanding effective reports and design documents, and effective introduction; Consider cultural,language and learning differences.

• Project Management and Finance: An ability to apply the knowledge and understanding ofAI-related engineering management principles and economic decisions, and apply them to their ownwork. As a team member and leader, manage projects and multidisciplinary environments.

• Continuous Lifelong Learning: An ability to recognizing the need and being prepared andable to engage in: i) independent and lifelong learning, ii) adapting to new and emerging AI-relatedtechnologies, and iii) critical thinking in the broadest context of AI-relatedtechnological change.

Program Features

The AI program is guided by the national strategic development of artificial intelligence and leverages the advantages of the electronics and information industry in the Guangdong-HongKong-Macao Greater Bay Area. It focuses on cutting-edge technologies and closely aligns with industrial demands. It promotes interdisciplinary integration and industry-university collaboration,aiming to cultivate highly innovative leaders with the ability to think creatively and possess a globalperspective for the future.

Core Courses

 Introduction to Artificial Intelligence

• Discrete Mathematics

• Advanced Language Programming

• Data Structures

• Machine Learning

• Digital Logic Circuits

• Signals & Systems

• Digital Signal Processing

• Deep Learning and Computer Vision

• 3D VisionIntelligence

• Synthetic Design of Artificial Intelligence System

• Fundamentals of Compute

• Fundamentals of C++ Programming

• Introduction toArtificial Intelligence

Featured Courses

 Freshmen Seminars:

• Introduction to Engineering I

 Project-based Courses:

• Practice of Introduction to Engineering I

 Global Education Courses:

• Introduction to Artificial Intelligence

• Special Topic for Artificial

• Intelligence Application

 Special Topics:

• Synthetic Design of Artificial Intelligence System

 Subject Frontiers Courses:

• Reinforcement Learning

• Natural Language Processing

• Blockchain

 Interdisciplinary Courses:

• Intelligent Hardware and Interaction Design

• Intelligent Sensor andWearable Computing

• AI Chip Design

 Baccalaureate-Master’s Integrated Courses:

• Stochastic Process

 Baccalaureate-Master’s Sharing Courses:

• Reinforcement Learning

 Cooperative Courses with Enterprises:

• 3D Vision Intelligence, Introduction to Engineering I  

• Metaverse Introduction and Practice

• Large Language Model and Artificial Intelligence Engineering Design

 Innovation Practice:

• Design Thinking Innovation and Practice ('Three ones' Courses)

 Entrepreneurship Courses:

• Design Thinking Innovation and Practice ('Three ones' Courses)

 Workshops:

• Intelligent Hardware and Interaction Design

• Intelligent Hardware and Interaction Design

• Synthetic Design of ArtificialIntelligence System

• Introduction to Engineering I

 Contest-Teaching Integrated Courses:

• Synthetic Design of Artificial Intelligence System

• 3DVision Intelligence

 Education on The Hard-Working Spirit:

• Engineering Innovation Training II

• Practice on DiplomaProject

• Practice of Introduction to Engineering I

• 3D Vision Intelligence