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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Comparative and Evolutionary Genomics (PGBI11115)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe course covers phylogeny reconstruction, applications of phylogeny, and computational comparison and evolution of genomes. Online lectures are supplemented by in-person question and answer sessions, in-person tutorials, online exercises and in-course assessments.
Course description The course covers theoretical and practical aspects of computational phylogeny and computational comparison of genomes.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites 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) in Semester 1 or by previous experience.
Course Delivery Information
Academic year 2022/23, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 10, Seminar/Tutorial Hours 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 68 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) In-course continuous assessment (100%).
Feedback Written feedback will be provided for the in-course assessments.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Choose and apply algorithms and software to reconstruct phylogeny and compare genome sequences, to make discoveries of evolutionary and/or functional importance.
  2. Have enhanced competence and skills in bioinformatics.
Learning Resources
None
Additional Information
Graduate Attributes and Skills Computational thinking. Computer literacy. Bioinformatics. Interdisciplinarity.
Additional Class Delivery Information Weekly question and answer sessions (1 hour) and tutorials (2 hours) will include time to comment on whole-class performance.
KeywordsMSc Bioinformatics
Contacts
Course organiserDr Daniel Barker
Tel: (0131 6)51 7812
Email:
Course secretaryMs Louise Robertson
Tel: (0131 6)50 5988
Email:
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