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Description
Content:
Research work in the life sciences is increasingly interdisciplinary and quantitative in nature. This module provides a foundation in the computation and mathematical skills that are required to conduct research in this environment. The module includes foundation skills in computer programming and computational statistical analysis; network analysis and Petri nets; mathematics and computer simulation of biological systems; model development and analysis. It is designed to be accessible to those with little prior experience of programming.
Module Aims:
Students will learn how to: perform network analysis of biological systems; construct and code models based on reaction networks; use software libraries to simulate and investigate systems; use statistical libraries to analyse data. The module will demonstrate these techniques in a diverse set of biological contexts including population dynamics, biochemical reactions, gene regulation, synthetic biology and gene expression data.
Module Objectives:
At the end of the module students should be able to:
- Design and code computer programs, including file I/O and simple algorithms.
- Use statistical software libraries to import, prepare, filter and analyse on data.
- Use computational tools to construct and analyse biological network data.
- Use scientific toolboxes to simulate and investigate mathematical models of biological systems.
- Use plotting libraries to code programs to produce publication quality figures.
Over the module students will also have completed two investigations and gained experience of how to apply the skills covered and write up findings within a research context.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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