The Cambridge Mathematics Experience Week

06 Jan-11 Jan, 2024
India

About The Programme

The Cambridge Mathematics Experience Week offers high school students an intensive exploration of mathematics under the guidance of Paul Fannon, University of Cambridge. This six-day programme covers the essentials of linear algebra, data sciences, algorithms, artificial intelligence and probability through lectures, seminars, and Cambridge Supervisions. These sessions, known for enhancing critical thinking, offer a practical introduction to the Cambridge University educational style, focusing on real-world applications of key mathematical concepts. 

Lectures will focus on Linear Algebra and Probability. 

 

Under Linear Alegbra, participants will initially look at the notion of a vector as a geometric object before considering it more fundamentally as an element of a vector space which can then generalise to other interesting objects. It will then consider linear mappings of these vectors as an object called a matrix, which can be studied in its own right. While Linear Algebra is a fundamental language of higher mathematics, the purpose of this course will be mainly about using logical, axiomatic arguments to develop critical thinking and communication skills. 

 

Under Probability, participants will look at ways to apply rigorous arguments to uncertain events. It will start with considering the idea of a probability distribution and expected value. Developing the algebra of these ideas will lead us to some powerful general results.

 

The afternoon seminars will provide insight into a variety of mathematical topics such as formal logic, information theory and machine learning. 

‘Cambridge Supervisions’ are a system of small-group personal tuitions that are a strength of the University. Participants in this programme will have several Supervisions to deeply engage with the course content.

Paul Fannon is the Director of Studies in Mathematics at the University of Cambridge and a Fellow at Jesus College and Christ’s College, Cambridge. He is a leading Mathematics educator globally, currently Chief Examiner for the International Baccalaureate, where he helped develop their new Applications and Interpretations Mathematics course, a Fellow of the Institute for Mathematics and its Applications, the UK PM’s advisor for Mathematics education, and deeply involved with science applications of Mathematics, AI, algorithms and data sciences.

 

He works extensively with school students across the world. Paul, a distinguished Cambridge academic and OBE recipient, specialises in data science and machine learning. He has significantly shaped the UK’s A-level mathematics curriculum and authored numerous textbooks. Recognised for his innovative teaching, Paul has twice won the CUSU student-led teaching awards, demonstrating his commitment to enhancing educational standards and student engagement. 

To ensure a seamless learning experience, participants are expected to have a foundation in school-level algebra and statistics. 

 

Algebraic requirements:

Quadratic Factorisation

Quadratic Formula

Basic ideas of Exponents and Logarithms. 

 

Statistical Knowledge Requirements:

Basic rules and vocabulary of Probability (e.g. independent, mutually exclusive, complement). 

Basic descriptive Statistics: Mean, median, mode, range, standard deviation.

Assessment: Continuous assessment throughout lectures and supervisions ensures a thorough grasp of the material. There is no final examination. 

Certification: Participants will receive a Cambridge/SternaXP certificate upon completion. 

Venue: India 

Dates: January 2025

Programme Fee: INR 1,00,000 (inclusive of GST)

Tvishaa Prabhu

Grade 9, Aditya Birla World Academy

"I am really grateful to have been part of Masterclass at CERN organised by SternaXP. Our time at CERN was the highlight, of course, but the learning process started long before and continued for a...

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Sharath Verma

Grade 9, Aditya Birla World Academy

"My visit to CERN was an unforgettable experience that deepened my love for science. The programme was well-structured, including pre-learning sessions, masterclasses at CERN and a research project to conclude the programme. We were fortunate...

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Garima Chaudhary

VidyaGyan School, Class 11

“This programme was very productive and helped me learn various concepts in probability and linear algebra. Unlike in classrooms where we learn only the theoretical aspects of subjects, I learnt ways to apply these concepts...

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Aditya Singh Dungarpur

The Doon School, Class 10

"This experience was more than just learning for me, it was like a journey of self-discovery. I learnt a lot about myself and my true potential, including the barriers that are holding me back. I'm...

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Amyra Jasuja

The Shri Ram School - Aravalli, Class 9

“This programme was truly enriching - I learnt a lot of things that I may not have at school, but most importantly, it showed me how students collaborate and are taught at the University level.”

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Frequently Asked Questions

Please bring your confirmation email, a valid identification document, and any personal items you may need for the day, such as a notebook, pen, and your electronic device (laptop or tablet).

No, participants will not receive any study materials or worksheets before the programme. All necessary materials will be provided during the course.

Yes, the programme will delve into advanced mathematical concepts, specifically focusing on Linear Algebra and Probability. While a foundation in school-level algebra and statistics is required, the course aims to provide a deeper exploration of these subjects, offering a taste of the academic rigour experienced at the University level.

The programme will run from 9am to 4pm, with breaks for lunch and other activities. Please make sure to arrive by 8:45am each day to get the most out of the experience.

Participants will be given well-guided take-home assignments during the programme. These assignments are designed to reinforce the concepts covered in the lectures and supervisions.

No, there is no final examination. Continuous assessment through the lectures and supervisions ensures a thorough understanding of the material.

Participants will receive a Cambridge/SternaXP certificate upon completion.
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