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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : Deanery of Molecular, Genetic and Population Health Sciences : Molecular and Clinical Medicine

Postgraduate Course: Credits Awarded for Taught Courses [University of Glasgow] Foundations of Bioinformatics BIOL5170 (MCLM11046)

Course Outline
SchoolDeanery of Molecular, Genetic and Population Health Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits15 ECTS Credits7.5
SummaryThis is a placeholder course, designed to record marks for the University of Glasgow part of the programme, PRPHDISPME1F: Precision Medicine (PhD with Integrated Study)
Course description Please see [University of Glasgow] Foundations of Bioinformatics BIOL5170
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2020/21, Not available to visiting students (SS1) Quota:  None
Course Start Flexible
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 150 ( Programme Level Learning and Teaching Hours 3, Directed Learning and Independent Learning Hours 147 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Please see [University of Glasgow] Foundations of Bioinformatics BIOL5170 for Components of Assessment
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Critically compare molecular characteristics of the genome, transcriptome, proteome and metabolome, and integrate evidence from the literature to explain the links between these domains;
  2. Assess and critically compare the ways in which trees can be used to show relationships between entities;
  3. Plan a statistical approach to analysing a dataset and critically discuss how biological inferences can be made from such tests
  4. Creatively apply and critically compare a variety of approaches to the organisation, presentation and comparison of molecular data
  5. Use computer programming environments to execute a planned statistical analysis
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Susan Farrington
Tel: (0131) 332 2471
Email: Susan.Farrington@ed.ac.uk
Course secretaryMiss Susan Mitchell
Tel: (0131 6)51 7891
Email: Susan.Mitchell@ed.ac.uk
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