Course image AI Winter School 2025/26
 
Course image MA953:Topics in Partial Differential Equations (PDEs) 2025/26
 
Course image MA4M9:Mathematics of Neuronal Networks 2025/26
 
Course image MA4M8:Theory of Random Graphs 2025/26
 
Course image MA259:Multivariable Calculus 2025/26
 
Course image MA4A2:Advanced PDEs 2025/26
 
Course image MA3J3:Bifurcations, Catastrophes and Symmetry 2025/26

This module investigates how solutions to systems of ODEs (in particular) change as parameters are smoothly varied resulting in smooth changes to steady states (bifurcations), sudden changes (catastrophes) and how inherent symmetry in the system can also be exploited. The module will be application driven with suitable reference to the historical significance of the material in relation to the Mathematics Institute (chiefly through the work of Christopher Zeeman and later Ian Stewart). It will be most suitable for third year students with an interest in modelling and applications of mathematics to the real world relying only on core modules from previous years as prerequisites and concentrating more on the application of theories rather than rigorous proof.

 
Course image MA3H5:Manifolds 2025/26
 
Course image MA250:Partial Differential Equations 2025/26
 
Course image MA9M4:Modelling and Computation of Fluid Dynamics Across Phases and Scales 2025/26
 
Course image MA951:Graduate Algebra 2025/26
 
Course image MA934:Numerical Algorithms and Optimisation 2025/26
 
Course image MA4N4:Transport Processes in Mathematical Biology 2025/26
 
Course image MA4N1:Theorem Proving with Lean 2025/26
 
Course image MA4M6:Category Theory 2025/26
 
Course image MA4M2:Mathematics of inverse problems 2025/26
 
Course image MA4M1:Epidemiology by Example 2025/26
 
Course image MA4L6:Analytic Number Theory 2025/26
 
Course image MA4L0:Advanced Topics in Fluids 2025/26
 
Course image MA4K9:Project (Research) 2025/26

MA4K6 Moodle page