Module code: BIO720P
Credits: 15.0
Semester: SEM1
Contact: Prof Conrad Bessant
This module provides an introduction to data science and AI, focusing specifically on the analysis of molecular data produced by methods such as transcriptomics, proteomics and metabolomics. Lectures cover the methods, algorithms and resources used for tasks such as the identification and quantitation proteins and metabolites, determination of protein structure, discovery and recognition of patterns in these data using exploratory analysis and machine learning, data integration, interpretation of data in the context of prior knownledge, and large scale analysis of the interaction between biological molecules. Practical exercises are used to gain experience with software tools, data formats and databases of relevance to this field.
Connected course(s): UDF DATA
Assessment: 100.0% Coursework
Level: 7
