Module 1: Introduction to Biology and Programming Module 2: Essentials of Mathematics and Statistics
The incoming student needs to meet the learning objectives of Modules 1 and 2.
Exclusions
Description
This module will introduce you to metabolomics, and you will learn about the data processing and data analysis approaches (e.g. biostatistics and metabolite identification) that are used to interpret data and extract biological insight from the large metabolomics data sets. You will also be introduced to the analytical approaches (e.g. mass spectrometry and NMR spectroscopy) that are used in metabolomics, so that you can appreciate the challenges involved in producing robust and reproducible data sets.
Additionally, this module will introduce you to other emerging and advanced (omics) techniques, including bioimaging and spectroscopy.
The course will include a combination of interactive seminars, hands-on computer workshops, tutorials and a virtual tour of the new Phenome Centre Birmingham.
Learning Outcomes
By the end of the module students should be able to:
Explain the fundamental concepts and key technical aspects of metabolomics and other advanced bioscience technologies.
Compare and interpret the underlying principles and workflows used in bioinformatics for processing and analysing metabolomics datasets.
Analyse and explain the concepts underlying a typical bioinformatics workflow to process and analyse metabolomics datasets.
Develop a basic bioinformatics data analysis workflow and derive biological insight from large metabolomics data sets.
Analyse emerging data types and extract biologically meaningful conclusions
Assessment
37238-01 : Final Exam : Exam (Centrally timetabled) - Computer based (50%)
37238-02 : Presentation : Presentation (35%)
37238-03 : Short Essay : Coursework (15%)
