Computer Science

 

ECM3413 - Bioinformatics - **NOT RUNNING IN 2012/13** (2012)

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MODULE TITLEBioinformatics - **NOT RUNNING IN 2012/13** CREDIT VALUE15
MODULE CODEECM3413 MODULE CONVENERUnknown
DURATION: TERM 1 2 3
DURATION: WEEKS
Number of Students Taking Module (anticipated)
DESCRIPTION - summary of the module content
AIMS - intentions of the module

To give students a vision of how Computer Science can be successfully applied to biological data mining. To introduce basic and advanced bioinformatics techniques to students to inspire them to develop novel computer software for biological data mining. To enable students to apply the latest software packages to biological data and analyse the resulting output in a biological context. To lead students towards independent bioinformatics research for specific applications. To train students as the next generation of bioinformatics experts in the UK. To encourage students to continue post-graduate study in bioinformatics.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
SYLLABUS PLAN - summary of the structure and academic content of the module

Sequence analysis (8 lectures) 1. Concepts 2. BLAST: principles and application 3. Hidden Markov models and neural network: principles, applications and challenges 4 Evolutionary computation: principles, applications and challenges Microarray data analysis (8 lectures) 1 Concepts 2 Cluster analysis: principles, applications and challenges 3 Principal component analysis: principles, applicationsand challenges 4 Decision trees: principles and applications Signalling pathway data analysis (2 lectures) 1 Concepts 2 Bayesian nets: principles and applications 3 Multivariate analysis: principles, applications and challenges

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities Guided Independent Study Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
SUMMATIVE ASSESSMENT (% of credit)
Coursework 30 Written Exams 70 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
RE-ASSESSMENT NOTES
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Augen J Bioinformatics, in the Post-Genome Era, and Information-Based Medicine Addison-Wesley 2005 0321173864 [Library]
Set Eidhammer I & Jonassen I Protein Bioinformatics: an algorithmic approach to sequence and structure analysis John Wiley and Sons, Ltd 2004 978-0470848395 [Library]
Set Fausett L Fundamentals of Neural Networks, Architectures, Algorithms and Applications Prentice Hall 1994 9780130422507 [Library]
Set Quinlan JR C4.5: Programs for Machine Learning Morgan Kaufmann 1993 [Library]
Set Duda; R.O., Hart; P.E., Stork; D.G. Pattern Classification and Scene Analysis 2 Wiley-Interscience 2002 [Library]
Set Baldi, P and Brunak, S Bioinformatics, the Machine Learning Approach The MIT Press 2001 026202506X [Library]
Set Attwood; TK and Parry-Smith; DJ Introduction to Bioinformatics Longman 1999 [Library]
Extended Holland J Adaptation in Natural and Artificial Systems MIT 1998 978-0262581110 [Library]
Extended Mount DW Bioinformatics, Sequence and Genome Analysis Cold Spring Harbor Laboratory Press 2004 [Library]
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES ECM3412
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 3 (NQF level 6) AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Monday 12 March 2012 LAST REVISION DATE Monday 12 March 2012
KEY WORDS SEARCH None Defined