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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Bioinformatics (PGBI11006)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe 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; modelling multiple sequence alignments; 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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Students MUST NOT also be taking Bioinformatics Programming and System Management (PGBI11095)
Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  45
Course Start Semester 2
Course Start Date 15/01/2018
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 10, Supervised Practical/Workshop/Studio Hours 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 68 )
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 PGBI110062:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. At the end of this course the student will have a solid grounding in the basic principles of computational biology
  2. 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.
  3. At the end of this course the student will have produced written reports identifying and applying appropriate tools to investigate questions in genetics.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsBioinformatics QGGA
Contacts
Course organiserDr Daniel Barker
Tel: (0131 6)51 7812
Email:
Course secretaryMrs Jennifer Morris
Tel: (0131 6)50 5513
Email:
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