This is a great opportunity for fun learning collaboration with your peers in our lovely department! The programme is a place to match students with like-minded interests to learn new topics together as a group, getting used to learning and researching topics collaboratively.
Studying Mathematics, I used to always try and solve problems on my own. But as a fresher, I soon found that my new friends at Imperial had each grown up with a very different version of Mathematics to the one I knew, and that actually exposure to all these new perspectives was very quickly enriching my overall understanding about all the new concepts, far beyond anything I could achieve on my own. That this was the proper way to learn and research Mathematics.
In this way, I’m constantly reflecting on advice from my first lecture at Imperial:
‘We’re often told that great minds think alike, but I disagree, I think that actually great minds don’t think alike and that’s why we’re able to progress at all.’
This is the ethos cementing the DRP - our Mathematics department here at Imperial is one of the most supportive, diverse and encouraging places for an undergraduate - we want to celebrate that! Our goal is to provide an environment for collaborative Mathematics to thrive.
Ariff Jazlan & Rohan Shenoy
Imperial Mathematics DRP founders
Based on your interests, we'll match you with other like-minded students in the department to work on a reading project together
Each group is assigned a group leader (typically an older student) to guide discussions, structuring the group learning and conversation
Groups typically meet up weekly to discuss ideas and material together, sharing the learning experience
There'll be regular catch-ups with other DRP groups to see what everyone's getting up to, as well as a special end of term Colloquium for each group to present everything they've learnt!
We have really had a range of topics covered by different DRP groups - just a few examples of past group reading projects:
Introduction to Category Theory and extensions
A study of statistical optimal transport theory for machine learning
The motivation and study of Martingales
Exploration of embedding/representation spaces in AI models
Dirichlet Theorem on the infinitude of primes in arithmetic progressions
Characterising hyperbolicity
Introduction to Lie Groups
A study of trading strategies in liquid markets
Topological analysis for Quantum mechanics
Sounds like fun ? Apply below!