Postgraduate Course: Credits Awarded for Taught Courses [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174 (MCLM11050)
Course Outline
| School | Deanery of Molecular, Genetic and Population Health Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 15 |
ECTS Credits | 7.5 |
| Summary | This is a placeholder course, designed to record marks for the University of Glasgow part of the programme, PRPHDISPME1F: Precision Medicine (PhD with Integrated Study)
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| Course description |
Please see [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2017/18, Not available to visiting students (SS1)
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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 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Please see [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174 for Components of Assessment
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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Use computers creatively to manipulate omics-level datasets and protein structure files
- Use computer programs to execute a variety of planned analyses in several areas relating to omics domains and to protein structure
- Critically evaluate and synthesise the results of omics-level analyses to draw biological inferences.
- Critically discuss and solve problems relating to: the ways in which investigations of the four 'omics' realms (genome, transcriptome, proteome and metabolome) are tackled analytically
- Critically discuss and solve problems relating to: the statistical approaches and workflow practices involved in genomics and in a range of transcriptomic approaches
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Elizabeth Elliot
Tel: (0131 6)51 7851
Email: |
Course secretary | Mr Fraser Pullar
Tel: (0131 6)51 7865
Email: |
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