Postgraduate Course: Bioinformatics (PGBI11006)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The course covers principles of computational biology together with the range and impact of bioinformatics tools used in biological sciences. The syllabus includes: biological databases; pairwise sequence alignment; multiple sequence alignment; next-generation sequencing; and automation of bioinformatics analyses. Previous experience of programming is not required. Lectures are supplemented by on-line exercises and tutorials and in-course assignments. |
| Course description |
Not entered
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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2017/18, Available to all students (SV1)
|
Quota: 65 |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Seminar/Tutorial Hours 4,
Supervised Practical/Workshop/Studio Hours 12,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
72 )
|
| Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
In course assignment (50%) and centrally arranged exam (50%) |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Bioinformatics PGBI11006 | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- At the end of this course the student will have a solid grounding in the basic principles of computational biology
- At the end of this course the student will have an appreciation of the range and impact of Bioinformatics tools currently used in the biological sciences.
- At the end of this course the student will have produced written reports identifying and applying appropriate tools to investigate questions in genetics.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Bioinformatics QGGA |
Contacts
| Course organiser | Dr Daniel Barker
Tel: (0131 6)51 7812
Email: Daniel.Barker@ed.ac.uk |
Course secretary | Mrs Jennifer Morris
Tel: (0131 6)50 5513
Email: jennie.morris@ed.ac.uk |
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