Postgraduate Course: Comparative and Evolutionary Genomics (PGBI11115)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The course covers phylogeny reconstruction, applications of phylogeny, and computational comparison and evolution of genomes. Online lectures are supplemented by computer-based tutorials, online exercises and in-course assessments. |
| Course description |
In 2020-21, this course is delivered entirely online.
The course will cover theoretical and practical aspects of computational phylogeny and computational comparison of genomes.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | There is no formal pre-requisite for this course. However, students must have experience of the Linux command-line. This may be obtained, for example, by taking Bioinformatics Programming and System Management (PGBI11095) or Bioinformatics 1 (INFR11160) in Semester 1; or by previous experience. |
Course Delivery Information
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| Academic year 2020/21, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Supervised Practical/Workshop/Studio Hours 18,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
70 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
In-course continuous assessment (100%). |
| Feedback |
Written feedback will be provided for the in-course assessment. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Choose and apply algorithms and software to reconstruct phylogeny and compare genome sequences, to make discoveries of evolutionary and/or functional importance.
- Have enhanced competence and skills in bioinformatics.
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Additional Information
| Graduate Attributes and Skills |
Computational thinking. Computer literacy. Bioinformatics. Interdisciplinarity. |
| Additional Class Delivery Information |
Weekly tutorials (2 hours) will include time to comment on whole-class performance. |
| Keywords | MSc Bioinformatics |
Contacts
| Course organiser | Dr Daniel Barker
Tel: (0131 6)51 7812
Email: Daniel.Barker@ed.ac.uk |
Course secretary | Ms Louise Robertson
Tel: (0131 6)50 5988
Email: Louise.K.M.Robertson@ed.ac.uk |
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