Having learned in semester one how to develop and optimise code to generate new and interesting data, you will now learn how to handle the resulting data and maximise the information retrieved.
This module provides training in advanced numerical methods that will allow in-depth understanding and solving of problems in physical chemistry, computational chemistry, and spectroscopy. It will also provide transferable skills that can be applied to other areas such as data science and quantitative finance. It involves learning to solve problems on a computer by developing code in Python.
The module will also cover data management and procurement, data standards and how to deal with missing or bad data, data reduction, visualisation and error analysis.