Mathematics Options
Choosing your options in mathematics is an important part of the Maths/Physics course. Whereas it is possible in the first year to cover the main areas of mathematics, this is difficult in the second and later years - even for students studying maths on its own. Remember that all lecture modules are taught on the basis that you are keeping up with the material and completing the problem sheets. Only the modules which would normally be taken by a significant number of Maths/Physics students are included in the course specifications but you are free to take other modules available in the diet.
The modules can be loosely grouped into four categories below. The natural areas for maths/physics students to concentrate on are Applied Mathematics and Analysis. Within the Applied Mathematics section, good modules to consider are the modules which are about physics or the mathematics directly used in physics. These are listed in the menu Mathematical Physics. Not all modules are taught every year and new modules may be introduced and others discontinued.
In general it is ONLY sensible to take modules on algebra or analysis if you are committing to take significantly more than one module in these areas (as many maths students do). The modules reinforce each other strongly. If you want to continue with analysis beyond the second year, you should take Metric Spaces.
Modules marked with an asterisk are those which are not listed explicitly in the Maths/Physics course regulations. All names should work as links.
Second Year
Partial Differential Equations (core); Methods of Mathematical Physics (core); Hamiltonian and Fluid Mechanics (core); Modelling Nature's Nonlinearity*; Theory of ODEs*; Introduction to Mathematical Biology*; Asymptotics Methods*; Complex Methods*; Probability: Structures and Examples*; Numerical Analysis and ODEs*
Third Year
Fluid Dynamics (core for MMathPhys students);
Mathematics of Cryptography*; Waves and Metamaterials*; Electromagnetism; Topics in Mathematical Biology; Matrix Analysis and Algorithms*; Data Driven Mathematical Modelling*; Theory of PDEs; Numerical Analysis and PDEs*; Markov Processes and Percolation Theory*; Control Theory*; Bifurcations, Catastrophes and Symmetry*; Mathematical Modelling with PDEs; Approximation Theory and Applications*; Probability in Many Variables*; Maths of Machine Learning; Problem Solving with Python*; Mathematics of Digital Signal Processing*; Optimisation*;
Fourth Year
Dynamical Systems; Quantum Mechanics*; Calculus of Variations*; Continuum Mechanics*; Structures of Complex Systems*; Advanced Topics in Fluids; Statistical Mechanics; Mathematics of Cancer*; Epidemiology by Example*; Mathematics of Inverse Problems*; Mathematics of Neuronal Networks*; Theorem Proving with LEAN*; Transport Processes in Mathematical Biology*; Finite-element methods for PDEs*;
MATHEMATICAL PHYSICS
Complex Methods (2nd/3rd Yr)
Continuum Mechanics (4th Yr)
Electromagnetism (3rd Yr)
Fluid Mechanics (3rd Yr)
Fluid Mechanics (4th Yr)
Quantum Mechanics (4th Yr)
Statistical Mechanics (4th Yr)
Transport Equations (3rd Yr)
Waves and Metamaterials (3rd Yr)