2026 School-Level Exchange Program (Mechanical Engineering – Cambridge Summer Program)
I. Program Overview
This course is centered on the theme "Modeling, Decision-Making and Control for Intelligent Mechanical Systems." It covers reinforcement learning decision models, dynamic system and uncertainty modeling, as well as robot control and path planning methods, building a complete engineering pathway from algorithm understanding to intelligent control of complex mechanical systems. The course gradually extends to typical engineering scenarios, helping students understand the progressive relationship from single control strategies to the formation of complex system behaviors. Throughout the process, the course integrates data-driven methods to analyze the role of artificial intelligence in state prediction, path planning, and control optimization, and to understand how AI enhances the adaptability of mechanical systems in complex environments. The course adopts a project-based learning (PBL) model, conducting practical training on robot control and strategy optimization, emphasizing decision design and model application in uncertain environments, and helping students transition from algorithm understanding to engineering implementation.
Program Type: Academic and research capability enhancement program
Discipline Classification: Interdisciplinary course, project-based learning
Program Highlights:
1. Cutting-edge interdisciplinary exploration: Students can choose one PBL topic for applied research based on their academic background and interests. This exploration can provide research ideas andperiodical deliverables for graduation projects, further academic studies, and paper publications.
2. Frontier AI applications: Learn and research the integration of artificial intelligence and engineering, laying the foundation for engineering technology innovation.
3. Authentic Cambridge classroom: Taught and guided by professors from relevant Cambridge University departments, providing students with a genuine, high-quality research and academic experience.
4. Academic skill development: Interdisciplinary research ability, teamwork, innovation, transformation of theoretical knowledge, English writing skills, etc.
II. Course Information
1. Program Dates: Online: August 3–9, 2026; On-site in Cambridge: August 10–23, 2026
2. Program Hours: 50 hours, including academic lectures, project guidance, group workshops, academic skill development, institutional visits, and cultural experiences
3. Course Modules:
- Fundamentals of Machine Learning and Artificial Intelligence
- Modeling, Decision-Making and Control for Intelligent Mechanical Systems
- Project Research
- Extension: Graphical and Structured System Representation
4. Teaching Professor:
Professor Jamie Vicary
Professor of Future Computing, University of Cambridge
Royal Society University Research Fellow
Fellow of King's College, Cambridge
III. Course Structure and Content
- Lectures: Professional course lectures led by the professor
- Workshops: Targeted guidance from the professor for group PBL projects
- Group Study: Research groups advance their projects with assistance from teaching assistants
- Project Report: Presentation of阶段性 results from PBL project exploration
- Evaluation: Professor provides feedback and assessment on group and individual performance
IV. Program Outputs
1. Project Research Report: This report can support graduation thesis writing, study abroad applications, or graduate school applications.
2. Program Certificate: Students who complete the program and assessments as required will receive a program certificate.
3. Program Transcript: Students will receive a report of individual and group scores.
4. Recommendation Letter (Merit-based): Outstanding students in the course may have the opportunity to receive a recommendation letter.
V. Program Fees
Total fee: £3,250 per person.
Included: Online and on-site course fees, course materials, accommodation in Cambridge University student dormitories, college meals, cultural activity fees, airport transfers within the UK, local transportation during the program, and insurance covering the standard program dates within the UK.
Not included: Round-trip airfare between China and the UK, visa fees, meals during free time (meals not provided on arrival day and weekends; dinner not provided Monday–Friday), personal expenses during free time, and other costs not specified.
VI. Application Requirements
- Language requirement: English proficiency equivalent to IELTS 6.0 / TOEFL 80. If the above tests have not been taken, CET-4/CET-6 scores or Gaokao English scores may be submitted for reference.
- Other requirements:
- Applicants must have family financial support and parental consent/authorization.
- Must abide by laws, university rules and regulations, and respect all arrangements made by the university and Cambridge program organizers.
- Have adequate understanding of overseas study and life, possess independent living skills, and be safety-conscious.
- Demonstrate self-motivation for learning and strong teamwork spirit.
VII. Financial Support
The University's Academic Affairs Office provides funding for international airfare to students who have no failing grades at the time of reimbursement, have a GPA of 2.5 or higher with an average score of at least 75, are accepted into the program, and receive course credit recognition.
Relevant information websites:
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The School of Mechanical Engineering provides a certain amount of international exchange scholarship support for its students who meet the Academic Affairs Office's funding requirements. Students from other schools should consult their school's academic secretaries.
VIII. Application Process
Log in to the Online Service Hall → Undergraduate International Exchange Learning Management System → 2026 School-Level Exchange Program (Mechanical Engineering – Cambridge Summer Program) → Fill in the required information.
After completing the information submission, join the QQ group for further notifications and Q&A: 1032632031
IX. Additional Notes
Instructions for filling out the "Course Credit Replacement" section in the system application:
School of Mechanical Engineering:
- Classes of 2023 & 2024: Cooperative Control Technology for Intelligent Connected Vehicles (Seminar)
- Class of 2025: Cooperative Control for Intelligent Connected Vehicles (Seminar)
For specific questions, consult Ms. Cao, Academic Secretary of the School of Mechanical Engineering.
School of Future Technology:
One natural sciences general education elective or a related major elective for third-year students may be replaced. Consult the Academic Secretary of the School of Future Technology for details.
Students from other schools should consult their respective school's responsible instructor.
X. Program Contact Information
Dr. Li: Email: yongzheli@91sp88.com
XI. Program Information Session
Questions regarding program learning, management, travel, etc., will be addressed.
Face-to-face exchange with students who participated in the 2025 summer exchange program.
Time: April 8, 2026, 12:30
Location: School of Mechanical Engineering (Jiulonghu Campus), First Conference Room 327
School of Mechanical Engineering
March 31, 2026
