Duck sitting on the Triton Fountain

It's the Week 1 Student Bulletin!
 

We hope you enjoyed your first week of lectures, classes and tutorials. This week, we've got some exciting events, career opportunities, and more!
 

Signature methods in machine learning
Lyons, T McLeod, A EMS Surveys in Mathematical Sciences (19 Feb 2025)

Mathematical Institute StaircaseAs of this week, Friday's@2 is back for Hilary term, taking place as usual in L1 every Friday at 2pm, followed by tea, coffee and biscuits in the foyer.
 

Lead, Learn, and Make a Difference as an Oxford Laidlaw Scholar! 

Open to first-year undergraduates, this 18-month programme combines leadership training, research, and community impact projects to drive meaningful change with an annual stipend to support your journey. Applications close 3rd Feb 2025. 

Five Arrows, the alternative investment arm of Rothschild & Co, is looking to hire graduates for their Corporate Private Equity Graduate Programme. If you are interested, please apply by 18th February 2025. 

Preference will be given to candidates in their final year of study of an undergraduate or master’s programme, who would be available to start work in July 2025 / January 2026. 

Unveiling the importance of longer paths in quantum networks
Hu, X Dong, G Christensen, K Jingfang, F Ziao, T Havlin, S Lambiotte, R Meng, X Science Advances volume 11 issue 9 (26 Feb 2025)
Fri, 28 Feb 2025

14:00 - 15:00
L1

Why study the history of mathematics?

Chris Hollings
Abstract

Many justifications can be offered for the study of the history of mathematics. Here we focus on three, each of them illustrated by a specific historical example: it can aid in the learning of mathematics; it can prompt the development of new mathematics; and last but certainly not least – it's fun and interesting!

Fri, 21 Feb 2025

14:00 - 15:00
L1

Where does collaborating end and plagiarising begin?

Abstract

Despite the stereotype of the lone genius working by themselves, most professional mathematicians collaborate with others. But when you're learning maths as a student, is it OK to work with other people, or is that cheating? How do you build the skills and confidence to collaborate effectively? And where does AI fit into all this? In this session, we'll explore ways in which you can get the most out of collaborations with your fellow students, whilst avoiding inadvertently passing off other people's work as your own.

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