RMM
University
Imperial College London
Course
MSc Applied Mathematics
Modules
Year 1
Computational Linear Algebra
Computational Partial Differential Equations
Finite Elements: Numerical Analysis and Implementation
Introduction to Stochastic Differential Equations and Diffusion Processes
Mathematical Foundations of Machine Learning
Methods for Data Science
Computational Dynamical Systems
Optimisation
Probabilistic Generative Models
Advanced Partial Differential Equations 2
Advanced Partial Differential Equations 1
Applied Complex Analysis
Asymptotic Methods
Bifurcation Theory
Dynamical Systems
Dynamics of Learning and Iterated Games
Dynamics, Symmetry, and Integrability
Fluid Dynamics 1
Fluid Dynamics 2
Hydrodynamic Stability
Introduction to Game Theory
Introduction to Geophysical Fluid Dynamics
Mathematical Biology
Mathematical Biology 2: Systems Biology
Mathematical Finance: An Introduction to Option Pricing
Probability Theory 2
Quantum Mechanics 1
Quantum Mechanics 2
Random Dynamical Systems and Ergodic Theory: Seminar Course
Special Relativity and Electromagnetism
Statistical Mechanics
Stochastic Differential Equations in Financial Modelling
Tensor Calculus and General Relativity
Theory of Partial Differential Equations 1
Vortex Dynamics
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Imperial College London
MSc Applied Mathematics
Dynamics, Symmetry, and Integrability
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Dynamics, Symmetry, and Integrability
MATH70143
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