Summer School at HKUST
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Course Selection
Engineering Innovation in the Era of AI
— Introduction —
Introduction to HKUST
The Hong Kong University of Science and Technology (HKUST) is a research-oriented university that focuses on science and technology. It is ranked top 50 globally in the 2025 QS World University Rankings and stands 11th in the QS Asian University Rankings. Its disciplines in Computer Science, and Engineering are all positioned within the top 50 in the 2025 Times Higher Education World University Subject Rankings and have consistently held first place in Hong Kong. HKUST, with its core strengths in technology and business management, is renowned globally as one of the fastest-growing institutions of higher education. It has nurtured a plethora of exceptional individuals, such as the founder of DJI and the CFO of Tencent.
Introduction to Summer School at HKUST
The Summer School at HKUST is designed to offer outstanding high school students the opportunity to immerse themselves in the teaching methods and unique features of this leading Asian university. Students will have access to visit advanced enterprises or institutions in Hong Kong and delve into industry developments. The programme is delivered by HKUST's esteemed faculty members, who will guide students in exploring cutting-edge academic fields and broadening their disciplinary horizons. Furthermore, students will have the privilege of in-depth visits to prominent Hong Kong institutions such as SenseTime and the Hong Kong Productivity Council. Through these practical visits and professional coursework, they will gain firsthand insight into the pivotal role of high technology in driving enterprise growth. Upon successfully finishing the programme, students will be awarded a formal Certificate of Completion, attesting to their academic proficiency.
— Teaching Faculty —
* The final lists of teaching members are subject to the Summer School at HKUST.
Professor Yang
Associate Professor, Department of Civil and Environmental Engineering, HKUST; Doctoral Supervisor; Director of HKUST-Smart Cities Project
Professor Yang was a postdoctoral fellow at Princeton University. He currently serves as the chair designate of the American Society of Civil Engineers' Greater China Section. His research spans a broad spectrum, encompassing urban meteorological disasters, sustainable urban development, building energy consumption simulations, and photovoltaic energy assessments. His work is not only of substantial academic significance but also offers practical solutions to enhance the sustainable development of cities.
Dr. Li
Research, Hong Kong Generative AI Research & Development Center (HKGAI); PhD, HKUST
Dr. Li boasts extensive research experience in AI, with a particular focus on efficient generative AI, automated machine learning, generative AI, and large language models. Additionally, he serves on the programme committees of several premier conferences, including NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, ACL, and AAAI, thereby commanding widespread influence and recognition within the academic sphere.
Dr. Wang
PhD, Department of Mechanical Engineering, HKUST
Dr. Wang's research is primarily focused on lithium-ion solid-state battery electrolytes and interfaces, as well as the discovery of electrolyte materials through first-principles and machine learning approaches. He has authored numerous papers published in internationally renowned journals, including Nano Energy, and has delivered presentations at various international conferences. His work significantly contributes both theoretical and experimental insights to the advancement of lithium-ion battery technology.
— Course Overview —
Ⅰ - Fintech
Tailored for: Students who are interested in Financial Engineering, Data Analysis, Technological Innovation, Interdisciplinary Application of Technology and Finance.
Financial Technology, Data Analysis, and Privacy Protection
- Core Concepts and Emerging Trends of Financial Technology
- Data-Driven Financial Decision-Making: Tools and Methods for Big Data Analysis
- Personal Privacy and Data Security: Regulatory Frameworks and Compliance Standards
- Applications Of Blockchain and Cryptographic Technologies in Finance
Applications of AI in Financial Technology
- Machine Learning for Financial Market Forecasting
- Utilize NLP in Financial Text Analysis (e.g., Sentiment Analysis, News Interpretation)
- AI's Role in Credit Risk Assessment and Fraud Detection
- Smart Contracts and Automated Financial Services
AI Smart Investment Advisory and Digital Wealth Management
- Working Principles and Algorithmic Foundations of Smart Investment Advisors
- Quantitative Investment Strategies and Intelligent Trading Systems
- Case Studies of Robo-Advisors
- AI-Driven Solutions for Asset Allocation and Personalized Wealth Management
Digital Transformation in Wealth Management
- Blending Traditional Wealth Management with Digital Innovations
- Leverage AI to Enhance Customer Experience in Financial Institutions
- Analyze Business Models of FinTech Innovators
- Future Directions in Wealth Management: Integrating AI, Big Data, and Blockchain
Ⅱ - Engineering Innovation in the Era of AI
Tailored for: Students who are interested in Engineering, Computer Science, Artificial Intelligence, and Data Science.
Technological Leadership: Qualities and skills of leaders in the new era
- Technology-Driven Leadership: How to Make Decisions in a Fast-Changing Landscape
- nalyze Technical Trends and Gain Industry Insights: How Leaders Spot Innovation Opportunities
- Strategies for Technology Project Management and Execution: Agile and Lean Methodologies
- Fostering Interdisciplinary Collaboration and Effective Team Leadership for Innovation
Leadership Thinking and Innovation Training
- Innovative Thinking Among Leaders: Enhance Breakthrough Thinking Skills
- Application of Design Thinking in Engineering and Technological Contexts
- Real-World Cases: Innovation Cultures and Management Strategies of Silicon Valley Firms
- Simulation Exercises: How to Drive Innovation within Technology Enterprises
Generative AI and ChatGPT: The Transformative Power of Education
- Fundamentals and Development Trends in Generative AI
- AI in Education: Personalized Learning, Automated Assessment, and Intelligent Tutors
- Case Studies of ChatGPT in Classroom Instruction
- Explore AI Ethics and Future Educational Models
Modern Engineering Research Methodology
- Identify and Solve Problems in Engineering: Case Analyses
- dvanced Methods in Experimental Design and Data Analysis
- Computer Simulation and Optimization: The Future of Engineering
- Skills for Academic Writing and Publishing Scientific Research
Critical Thinking in the Information Age
- Information Screening Skills in the Digital Media Landscape
- Misinformation and Ethical Issues in the AI Era
- Logical Thinking for Data-Driven Decision-Making
- Critical Thinking: Case Studies and Practical Applications
How to Generate Learning with Generative AI
- Pros and Cons of AI-Generated Content
- ChatGPT's Role in Academic Research, Writing, and Study
- Effective Use of AI for Knowledge Management and Information Synthesis
- AI-Powered Self-Learning: Transitioning from Passive to Active Inquiry
— Sample Schedule —
| Date | Morning (10:00-12:00) | Afternoon (14:00-17:00) | Evening |
| Day 1 | Arrival and Hotel Check-in. | ||
| Day 2 |
Opening Ceremony
Academic Course
Students will engage in academic courses at HKUST, focused financial technology or Engineering Innovation in the Era of AI.
|
University Visit - Hong Kong University of Science and Technology Take an in-depth guided tour of the HKUST campus to immerse in the vibrant life and learning atmosphere at HKUST. |
1. Finish reading tasks or homework; 2. Prepare and refine the final project for the graduation presentation. |
| Day 3 |
Academic Course
Students will engage in academic courses at HKUST, focused financial technology or Engineering Innovation in the Era of AI.
|
Engineering Innovation in the Era of AI: Visits to Sense Times/Hong Kong Productivity Council
●SenseTime：A global leader in AI, leveraging computer vision technology to empower smart cities, fintech, and more.
●Hong Kong Productivity Council：Dedicated to industrial upgrading, offering technical support and innovative solutions to enhance enterprise competitiveness and drive high-quality economic development in Hong Kong.
Fintech: Hong Kong Productivity Council/Renowned Fintech Enterprises or Institutions
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| Day 4 |
Academic Course
Students will engage in academic courses at HKUST, focused financial technology or Engineering Innovation in the Era of AI.
|
Practical Course - Visits to the Center for Artificial Intelligence Research, HKUST Take an in-depth guided tour to explore the top research laboratory in Hong Kong, gaining insights into cutting-edge technology and its commercial applications. |
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| Day 5 |
Academic Course
Students will engage in academic courses at HKUST, focused financial technology or Engineering Innovation in the Era of AI.
|
University Visit - The University of Hong Kong/The Chinese University of Hong Kong Take an in-depth guided tour of the HKU/CUHK campus to immerse in the vibrant life and learning atmosphere at HKU/CUHK. |
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| Day 6 | Graduation Presentation and Closing Ceremony |
Hong Kong City Tour - Tsim Sha Tsui, Causeway Bay, and Victoria Peak
Sightsee iconic landmarks in Hong Kong to experience its unique charm and local culture.
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| Day 7 | Departure | ||
* The specific schedule and visits are subject to the Summer School at HKUST.
— Application —
Date:
July 20-July 26, 2025
Location:
Hong Kong, China
Language:
English
Grades:
9-12
Requirements:
Please provide any of the following documents.
- Achieve grade B in ASDAN EPQ-related research
- English language level equivalent to IELTS level 5.5 or TOEFL 70
- A recommendation letter from your teacher as proof of English proficiency or a phone/online interview with an ASEEDER teacher
* Priority for awarded students from ASEEDER STEM assessments
Fee：
Includes：- Tuition, certificate application, tutorial, teaching site use fee, ASEEDER group leader service fee, and insurance.
- 1. Hong Kong endorsement fee;
- 2. Bus transport during the programme (round-trip transportation between the Port and the programme destination);
- 3. Daily commuting；
- 4. Personal expenses for board and lodging, and more.
— Contact Us —
