Catalogue of Modules, University of Nottingham

G53BIO Bioinformatics
(Last Updated:03 May 2017)

Year  11/12

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.

Taught Semesters:

SemesterAssessment
Autumn Assessed by end of Autumn Semester 

Prerequisites: Students without these pre-requisites should consult the module convenor.

MnemTitle
G52ADS Algorithms and Data Structures 
G51MCS Mathematics for Computer Scientists 
G51DBS Database Systems 

Corequisites:  None.

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.

Module Web Links:
   
  • Reading List
  • Method and Frequency of Class:

    ActivityNumber Of WeeksNumber of sessionsDuration of a session
    Lecture 11 weeks1 per week2 hours
    Computing 11 weeks1 per week2 hours

    Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

    Further Activity Details:
    Self-learning: thematic survey background reading and discussions with students and staff. Thematic survey: for the preparation of a written report on thematic survey to be chosen by staff in consultation with student. Project: individual project.

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Project 1 50 A report of experimental results (2500 words) 
    Report 50 Survey report (2500 words) 

    Convenor: 
    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


    Use the Back facility of your browser to return to the previous page.

    Module Catalogue Search for another module

    [UoN Welcome Page] Return to The University of Nottingham Welcome Page