J-BJI Research Experience Summer School on Tropical Machine Learning

The J-BJI Research Summer School on Tropical Machine Learning is a premier academic endeavour for students passionate about research and innovation.

This intensive three-week programme is crafted to provide participants with an unparalleled educational experience, empowering them to work alongside leading researchers and engage in projects at the forefront of machine learning and tropical mathematics.



Jinan-Birmingham Joint Institute Summer School Group photo

Why machine learning?

Obtain hands-on experience in research and machine learning, fostering critical thinking and problem-solving skills while developing an essential skill for the AI future.

Why tropical?

Tropical mathematics is a key tool for machine learning algorithms. It is also an active area of research in pure mathematics and optimisation.

Teaching

  • Work in a small group on a research project;
  • Guided by a University of Birmingham (UoB) academic mentor;
  • Supported by a UoB PhD student.

Learning

  • Learn the necessary programming skills and basics of tropical mathematics;
  • Daily contact with your UoB mentor or supporting UoB PhD student;
  • Train a machine learning model on a problem of tropical mathematics.

How to apply

To make application, please fill in the application form.

Given the spaces limited, we will prioritise the applications from JBJI Year 2 and Year 3 students.
All qualified applications from Year 1 students will be accepted on 'first-apply first-get' basis.

Programme Schedule

The following is a provisional schedule for the Research Summer School, outlining the structure of classes, project work, and mentorship opportunities. This schedule is designed to maximise the learning experience and ensure a comprehensive understanding of both machine learning applications and tropical mathematics.

Week 1

Mornings: Instructional classes from 10:00 to 12:00, covering machine learning basics, tropical mathematics fundamentals, and their applications in machine learning.

Afternoons: Learning Support sessions on Mondays-Wednesdays-Fridays and Supervisor sessions on Tuesdays-Thursday, both from 14:00 to 16:00. These sessions are instrumental in providing students with the assistance needed to train machine learning models effectively.

Week 2

Mornings: Instructional classes from 10:00 to 12:00, covering machine learning basics, tropical mathematics fundamentals, and their applications in machine learning.

Afternoons: Learning Support sessions on Mondays-Wednesdays-Fridays and Supervisor sessions on Tuesdays-Thursdays, both from 14:00 to 16:00. These sessions are instrumental in providing students with the assistance needed to train machine learning models effectively.

Week 3

The final week is dedicated to the culmination of project work and preparation for presentations. Students will showcase their projects, applying the skills and knowledge gained throughout the programme.

Learning Support Sessions and Social activities

Guest Lectures

A series of Academic Guest Lecturers will be delivered by university Professors or lecturers on ranges of subjects related to AI, machine learning and mathematics and its application to the world around us.

English Language session

This engaging and interactive language course will support the students to improve their English writing skills and boost their confidence to communicate in English. They will benefit from this course to enhance the ability to communication in English, expand knowledge of English vocabulary and grammar and practice the English Language in real-world situations. By the end of the course, they should be able to write and speak in English more effectively and confidently.

Careers and Skills Development Sessions

These sessions aim to empower university students with the knowledge, skills, and confidence needed to complete their research projects and, furthermore, to support the students in transitioning from academia to the workplace. The Careers and Skills Development Sessions include training for presentation skills, research skills development, and career development.

During the career development session, you will have the opportunity to participate in recruitment exercises designed to mirror those used in assessment centres by multinational companies. In addition to developing your skills and receiving feedback, you'll have the chance to meet and learn from career consultants and advisors, gaining practical recruitment experience in a friendly and engaging environment.

Social Activities

  • Explore the UK’s iconic city of London.
  • Experience the West End at one of the classic theatres in London.
  • Visit British historical place Stratford-upon-Avon where William Shakespeare was born.
  • Engage with UK based Students from the School of Mathematics for both academic studies and social activities.

Key dates

Programme Dates: 15th July 2024– 3rd August 2024, (3 weeks).

The Final Application Deadline: Midnight, Friday 3rd May 2024, (China time).

All applications received between 3rd May – 17th May 2024 will be added to a waiting list.

Entry requirements

  • Be aged 18 years or over.
  • IELTS 5.5 overall with no band under 5.0 (IELTS bands lower than of 5.0 will still be considered, depending on availability).
  • JBJI English Language Exams Score can also be considered in replace of IELTS, provided you have achieved an average score of 70% or higher (Applies to Year 1 students ONLY).
  • To maximise the benefits of attending the J-BJI Summer School, we highly recommend that you take any appropriate IELTS tests in advance.

Fees

Fees: £3,800

Fees include

  • Tuition fees, including assessment (where applicable)
  • En-suite accommodation in University halls of residence (breakfast included), Chamberlain, Church Road, Edgbaston, Birmingham, B15 3SZ
  • Day trips and social activities
  • Transportation

Cancellation Policy

Right to Cancel

You have 14 days cooling-off period after paying the fee. During this period, you will be able to cancel your place on the 2023 J-BJI Summer School Course and receive a full refund.

To apply for a cancellation, you must inform Yezi Dean of your decision to cancel your place on the 2023 Summer School Course. Please ensure this is done before the 14-day cancellation period has expired to qualify for a refund.

After the 14-day cancellation period has expired, the standard programme cancellation policy (as specified below) will apply.

The 14-day cancellation period DOES NOT apply to late submissions (application received after 3rd of May,2024).

If a student does not notify us of their intention to cancel their attendance on the J-BJI Summer School Course, they shall not be entitled to any refund, regardless of the reason(s) of cancellation, including medical and visa refusal, and will be legally liable for paying the full programme fee.

The J-BJI Summer School Course fee will ONLY be refundable under the following circumstances, at the University’s discretion on a case-by-case basis. Supporting evidence will be required:

  • Visa application refusal - refunds will not be considered if visas have been applied for too late, are the wrong visa type, or where fraudulent information has been given.
  • Failure to meet entry requirements for IELTS (International English Language Testing System)

In any event a reasonable sum will be charged under the following rules:

  • For notice of cancellation received by the University after cooling off period and no later than 17th May 2024 the University shall be entitled to retain 30% of the total fee.
  • For notice of cancellation received by the University no later than 16th June 2024, the University shall be entitled to retain 50% of the total fee.
  • For notice of cancellation received by the University after 16 June 2024, the University shall be entitled to retain the total fee.

Covid-19 related cancellation by you

Since July 2023, the J-BJI Summer School Course Fee is non-refundable if you are unable to participate in the programme due to result in positive for COVID-19.

Comprehensive insurance

Students are strongly advised to be comprehensively insured at all times to cover all costs and consequences of medical treatment, repatriation, personal/public liability, personal injury/accident, damage/theft/loss of personal belongings, legal expenses, recovery of course fees, alternative accommodation and flights booked or needed in the event of cancellation or early departure howsoever occurring. It is essential that you take out travel insurance to cover any expenses incurred as a result of epidemic, pandemic and government restriction.

The University does not provide health, travel or medical insurance for any of the participants in the Summer School.

Cancellation by the University

The University reserves the right to cancel the 2023 J-BJI Summer School Course, such as in the case of insufficient enrolment.
If the Course is cancelled by the University, the enrolled students will be offered a full refund, date transfer or a credit voucher. However, the University will not be responsible for any associated costs, such as (but not limited to) travel/flights and accommodation, etc.
The University will endeavour to give enrolled students notice of cancellation as soon as reasonably practicable.

Transfer of programme dates

If, due to unforeseen circumstances, there is a change in the course dates, the University will notify all enrolled students as soon as possible and offer them alternative dates.
If they are unable to attend on new dates, we will refund the fee amount paid by them.
However, the University will not be responsible for any associated costs, such as (but not limited to) travel/flights and accommodation, etc.

Contact

If you have any concerns or questions about the cancellation policy, please contact with Yezi Dean at y.tian.3@bham.ac.uk