Applied and computational analysis (ACA) is concerned with mathematical tools of broad applicability, e.g. ordinary and partial differential equations, nonlinear dynamical systems, integrable systems, numerical analysis, approximation theory, inverse problems and image analysis. While the approach is mathematical, the ultimate destination of these tools is to applications. This tension between the pure and the applied is at the core of different ACA themes.
| Title | Examinable | Term | Number of Lectures |
|---|---|---|---|
| Applied Analysis | Part III Examinable | Michaelmas | 24 |
| Mathematical Methods in Data Science | Part III Examinable | Michaelmas | 24 |
| Spectra, Algorithms, and Data in Infinite Dimensions | Part III Examinable | Lent | 16 |
| Data-Driven Methods for Dynamical Systems | Part III Non-Examinable | Lent | 12 |