Postgraduate Course: Bioinformatics and Data Management (MCLM11008)
Course Outline
School | School of Molecular, Genetic and Population Health Sciences |
College | College of Medicine and Veterinary Medicine |
Course type | Online Distance Learning |
Availability | Not available to visiting students |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
Home subject area | Molecular and Clinical Medicine |
Other subject area | None |
Course website |
None |
Taught in Gaelic? | No |
Course description | Bioinformatics is at the interface between two of the most influential scientific fields. An appreciation of computational and biological sciences, in particular the terminology employed in both fields, is essential for those working at such an interface.
In this course, we aim to cover the following:
¿ The concepts of computer science that relate to problems in biological sciences
¿ Commercial and academic perspectives on bioinformatics
¿ The impact of bioinformatics on the methodologies used in biological science
¿ The influence biological science has on computing science |
Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Additional Costs | None |
Course Delivery Information
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Delivery period: 2013/14 Semester 2, Not available to visiting students (SS1)
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Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
Course Start Date |
13/01/2014 |
Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Seminar/Tutorial Hours 5,
Online Activities 100,
Feedback/Feedforward Hours 40,
Formative Assessment Hours 12,
Summative Assessment Hours 10,
Revision Session Hours 8,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
0 )
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Additional Notes |
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Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
1. Describe the main computational algorithms used in the analysis of biological sequences
2. Discuss the practical limitations of sequence analysis methods and contrast the methods available
3. Appraise common biological data sources and the key contributing error/noise sources in such data
4. Recognise experimental design in biology as critical to subsequent data analysis and representation in bioinformatics
5. Critically evaluate research literature in the field |
Assessment Information
Online participation: 25%
Individual project: 25%
Reflective portfolio: 30%
Case scenarios: 20% |
Special Arrangements
None |
Additional Information
Academic description |
Not entered |
Syllabus |
Not entered |
Transferable skills |
Not entered |
Reading list |
Not entered |
Study Abroad |
Not entered |
Study Pattern |
Not entered |
Keywords | Clinical trials, bioinformatics, data management |
Contacts
Course organiser | Miss Michelle Evans
Tel: 0131 537 3326
Email: michelle.evans@ed.ac.uk |
Course secretary | Mrs Danielle Marlow
Tel: 0131 537 3798
Email: Danielle.Wilson@ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 10 October 2013 4:54 am
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