Core Courses

There are four core courses:

  • A1 Mathematical Methods I
  • A2 Mathematical Methods II
  • B1 Numerical Solution of Differential Equations and Numerical Linear Algebra
  • B2 Continuous Optimisation and Further Numerical Linear Algebra

The core courses consist of both lectures and examples classes, and students must attend both. Some preparatory reading relating to the core courses is suggested. Recent past exam papers provide a good source of revision questions. In addition, older past exam papers can be found on the OXAM website.

A1 Mathematical Methods I

The Mathematical Methods I core course consists of 24 lectures in MT as follows:

  • The 16 lectures comprising Applied Partial Differential Equations (Professor Derek Moulton), synopsis
  • The 8 lectures comprising Supplementary Applied Mathematics (Professor Andreas Münch), synopsis

A2 Mathematical Methods II

The Mathematical Methods II core course consists of 24 lectures in HT as follows:

  • The first 8 lectures from the course Nonlinear Systems (Professor Alain Goriely), synopsis
  • The 8 lectures comprising Further Partial Differential Equations (Professor Jon Chapman), synopsis
  • The 8 lectures comprising Further Mathematical Methods (Professor Jon Chapman), synopsis

B1 Numerical Solution of Differential Equations and Numerical Linear Algebra

The Numerical Solution of Differential Equations and Numerical Linear Algebra core course consists of 24 lectures in MT as follows:

  • The 16 lectures comprising Numerical Solution of Differential Equations I (Dr Alberto Paganini), synopsis
  • The first 8 lectures from the course Numerical Linear Algebra (Professor Andy Wathen), synopsis

B2 Continuous Optimisation and Further Numerical Linear Algebra

The Continuous Optimisation and Further Numerical Linear Algebra core course consists of 24 lectures, 8 in MT and 16 in HT, as follows:

  • The second 8 lectures from the course Numerical Linear Algebra (Professor Andy Wathen, MT), synopsis
  • The 16 lectures comprising Continuous Optimisation (Professor Coralia Cartis), synopsis