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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] RNA-seq and Next Generation Transcriptomics BIOL5177 (MCLM11051)

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 Credits10 ECTS Credits5
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] RNA-seq and Next Generation Transcriptomics BIOL5177
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: 100 ( Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 98 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Please see [University of Glasgow] RNA-seq and Next Generation Transcriptomics BIOL5177 for Components of Assessment
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Specialist integrative knowledge and critical understanding of the concepts underlying next generation sequencing-based transcriptomics data analysis
  2. Specialist integrative knowledge and critical understanding of the reasons for differences in the performance of different data analysis methods
  3. Practice, general cognitive skills, and ICT: in a creative way, the principal skills involved in analysing next generation sequencing data using a range of transcriptomics tools
  4. Practice, general cognitive skills, and ICT: the use of computer programs to visualize the results of a transcriptomics experiment
  5. Practice, general cognitive skills, and ICT: that they can critically evaluate and choose from a range of statistical approaches to transcriptomics data analysis and that they can interpret statistical data analysis results by mining annotation databases
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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