Postgraduate Course: Bioinformatics 2 (INFR11005)
Course Outline
| School |
School of Informatics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/bio2 |
|
|
| 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
| Pre-requisites |
Students MUST have passed:
Bioinformatics 1 (INFR11016)
|
Co-requisites |
|
| Prohibited Combinations |
Students MUST NOT also be taking
Bioinformatics 2 (20 points) (ARIN11005)
|
Other requirements |
For Informatics PG and final year MInf students only, or by special permission of the School. This course assumes an undergraduate degree in computing or mathematical sciences. However, it would also be suitable for an individual from biological sciences with some programming experience.
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | 11:10 - 13:00 | | |
| First Class |
Week 1, Wednesday, 11:10 - 13:00, Zone: Central. Room 2.14, Appleton Tower |
Summary of Intended Learning Outcomes
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 - Demonstrate an understanding of how experimental design in biology is critical to subsequent data analysis and representation in bioinformatics
5 - Critically evaluate research literature in the field |
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0
Assessment
Coursework will be assessed through a mini project exploring a research area of bioinformatics.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:10 am
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