AI and Computer Science Program - Cambridge University

• Cambridge Formal Dinner
• Salsa Dancing
• Punting
• Bouldering
• Film Night
• Cambridge College Tour
• Castle Hill Sunset

• Participants accommodated in various University of Cambridge college buildings.

• Majority of accommodation in single/twin rooms with shared, unisex bathrooms.

• Dormitory rooms vary in size, shape, and style across different colleges.

• En-suite single rooms available upon special request.

• Additional charge for en-suite rooms, offered on a first-come, first-served basis.

• Museum Visits: British Museum, The Natural History Museum and much more.
• Historical and Educational Sites: Christ Church College, Bletchley Park, The Supreme Court of the UK and much more.
• Outdoor and Scenic Locations: River Thames, Shakespeare’s Globe and much more.

Includes airport pick-up and drop-off shuttle services for London Heathrow.

Arrival and Departure Times:

• Will be set 3 different times on the arrival day for pick up and students are encouraged to purchase flight in accordance with the set time.

• Morning after 9am, afternoon and evening no later than 6pm is assumed. Specific times will be announced soon.

Transportation provided for day trips to London and Oxford.

• Benefit from the guidance of University of Cambridge faculty members, gaining access to the latest innovations and academic insights in your chosen field.
• Develop academic skills and nurture interests through engaging lectures and small group sessions led by Cambridge professors and PhD supervisors.
• Participate in vibrant cultural activities and embark on inspiring visits to prestigious companies and cutting-edge research institutions.
• Experience life as a Cambridge student, joining like-minded individuals from around the world in a traditional and world-leading academic atmosphere in Cambridge and the UK.

Evaluation Overview:

• Multifaceted Evaluation: Participants' work assessed thoroughly by experienced professors and dedicated supervisors.
• Presentation Opportunity: 15-minute presentations allow participants to showcase critical findings, methodologies, and implications.
• Constructive Feedback: Participants receive valuable feedback and constructive criticism.
• Skill Development: Focus on effective communication and honing presentation skills, promoting academic growth and excellence.

Certification and Rewards:

• Recommendation Letter for Top 20%: Exceptional students in the top 20% receive a recommendation letter from a Cambridge Professor, acknowledging performance and enhancing future opportunities.
• Programme Director's Reference: Personalised reference letter from the Cambridge Programme Director, highlighting participation and achievements.
• Accredited Certificate of Attendance: Official certificate signed by a Cambridge Professor and accredited by the British Accreditation Council, recognizing academic commitment.

Program Highlights:

• Professor & Supervisor Total Contact Time: 30+ hours
• Professor-Led Lectures: 8 hours
• Project & Academic Supervision: 8 hours
• Practical Workshop: 6 hours
• Subject Presentation: 3 hours
• Cambridge Master Talks: 4 hours
• Cultural & Social Activities: 12 hours
• Excursion in Oxford & London: 2 days

Prof. Pietro Lio:

• Current Roles: Full Professor of Computational Biology at University of Cambridge's Department of Computer Science and Technology, active in the Artificial Intelligence group.

• Academic Background: Holds an MA from Cambridge, dual PhDs in Complex Systems and Non-Linear Dynamics (University of Firenze, Italy), and Theoretical Genetics (University of Pavia, Italy).

• Research Focus: Specializes in bioinformatics and computational biology models using machine learning to integrate molecular, clinical, social, and lifestyle data for personalized and precision medicine. Aims to enhance disease diagnosis, understand disease trajectories, and optimize treatment strategies.

• Lecture Topics: Deep Learning, Random Walks Models: mutual information, contrastive examples, implementation, and applications, Challenges in Image Analysis, Single Agent; relationships between Value, Policy, Model, Multi-Agent; implementation examples, A2C, A3C, curiosity-driven learning.

Professor Pietro Lio will be teaching on Session 1.

Professor Nic Lane:

• Current Roles: Full Professor in the Department of Computer Science and Technology at the University of Cambridge and leads the Cambridge Machine Learning Systems lab (CaMLSys).

• Fellowship: Holds a Fellowship at St. John’s College, University of Cambridge.

• Research Focus: Specializes in designing, architecting, and algorithm development for scalable and robust machine learning (ML) systems.

• Key Areas: His work is centered on developing advanced ML systems that utilize multi-modal data (like speech, vision, location, inertial information) for complex real-world situational analysis. Emphasizes on flexibility (such as distributed execution, adaptation) and efficiency (in compute and memory usage) in systems.

• Lecture Topics: Computer Architecture, Machine Learning and Artificial Intelligence, Systems and Networking.

Professor Nic Lane will be teaching on Session 2.

• Ensuite accommodation fee (if required): £800

• Pocket Money Advice: £30 per day (for lunch and etc.)

Target Audience: High School, Undergraduate and Postgraduate students aged 16 and above, aiming to develop academic knowledge and experience Cambridge culture.

Transcript Requirements:

• Current transcript from school/university to demonstrate basic knowledge in the subject of application.

• Preference for students studying relevant subjects.

Proof of English Proficiency:

• High level of English required for interaction and final assessments.

• Acceptable proofs include English proficiency test certificates, school transcripts, or competition certificates.

Personal Statement: A statement (2000 characters) outlining goals, aspirations, and suitability for the programme.