Unit name | Computational Genomics and Bioinformatics Algorithms |
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Unit code | EMATM0004 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Professor. Cristianini |
Open unit status | Not open |
Pre-requisites |
An understanding of basic probability theory, and elementary programming skills are essential. Prior knowledge of Matlab is helpful but not essential. |
Co-requisites |
None |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
The unit will focus on case studies of analysis of single genomes. It covers: gene finding; genome evolution; gene expression analysis; sequence alignment; hidden Markov models; phylogenics.
Aim:
To introduce students to practical tasks of genome analysis, based on real case studies.
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, practical activities supported by drop-in sessions or online computer laboratories and problem sheets.
1 Summative Assessment, 100% - Coursework. This will assess all ILOs.