Postgraduate Course: Credits Awarded for Taught Courses [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174 (MCLM11050)

Course Outline
School	Edinburgh Medical School	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)
Course description	Please see [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information

Academic year 2025/26, 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] Omics and Systems Approaches in Biology BIOL5174 for Components of Assessment
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