Total Credits: 10
Level: Level 3
Target Students: Part II undergraduate students in the School of Computer Science. Also available to students from other Schools with the agreement of the module convenor. Available to JYA/Erasmus students.
|Autumn||Assessed by end of Autumn Semester|
Prerequisites: Students without these pre-requisites should consult the module convenor.
|G52ADS||Algorithms and Data Structures|
|G51MCS||Mathematics for Computer Scientists|
Summary of Content:
This module is part of the Modelling and Optimisation theme in the School of Computer Science.
This module is part of the Modelling and Optimisation theme in the School of Computer Science. Bioinformatics lies at the interface between Computer Science and Information Technology and Biology. The ultimate goal of the field is to enable the discovery of new biological insights as well as to create a global perspective from which unifying principles in biology could be discerned. However, the pursuit of bioinformatics excellence has already impacted on various areas of computer science (and also mathematics) providing new and unsuspected insights into computational and mathematical problems and methods.
This module will provide students with the analytical skills needed to tackle an inherent multi-disciplinary field. The successful completion of the module will endow a student with:
• Entry-level understanding of biological problems such as DNA sequencing and mapping, secondary and tertiary protein structure prediction, protein structure comparison, protein sequencing, philogenetics, gene expression, metabolic pathways.
• Understanding of the computational problems associated with these biological problems from the point of view of modelling, computational complexity and algorithms.
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||11 weeks||1 per week||2 hours|
|Computing||11 weeks||1 per week||2 hours|
Method of Assessment:
|Project 1||50||A report of experimental results (2500 words)|
|Report||50||Survey report (2500 words)|
Dr J Bacardit
Education Aims: To introduce students to basic biological knowledge. To demonstrate the importance of computer science, and its impact, in modern biological and biomedical challenges. To understand the computational aspects of biological and biomedical problems. To introduce the goals and challenges of research in the computational and mathematical aspects of bioinformatics and computational biology.
Learning Outcomes: Knowledge and Understanding Understand the computational theory that underlies bioinformatics problems. Understand the necessary theory, and master the essential tools, necessary to the implementation of effective bioinformatics solutions. Intellectual Skills Apply computational theory/tools to bioinformatics. Professional Skills Enhanced programming abilities. The ability to comprehend and apply formal computational methodologies and to work across disciplines. Transferable Skills Application of computational methods to other disciplines.
Offering School: Computer Science
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