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 Postgraduate Course: Credits Awarded for Taught Courses [University of Glasgow] Evidence-Based Methods & Stats MED5538 (PUHR11111)
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 | 20 | ECTS Credits | 10 |  
 
| 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] Evidence-Based Methods & Stats MED5538 |  
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:
200
(
 Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
196 ) |  
| Assessment (Further Info) | Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 % |  
 
| Additional Information (Assessment) | Students must submit at least 75% by weight of the components (including examinations) of the course¿s summative assessment. |  
| Feedback | Not entered |  
| No Exam Information |  
Learning Outcomes 
| On completion of this course, the student will be able to: 
        Critically review papers in the peer reviewed literature based upon the principles of evidence-based practiceCritically review, summarise and communicate the literature, drawing conclusions based on the available evidenceCritically appraise the research process and apply this in the design of a research studyExplain and illustrate commonly used concepts and terms in statisticsSelect and apply appropriate methods of statistical analysis to simple datasets, with the help of appropriate computer packages. |  
Additional Information
| Graduate Attributes and Skills | Not entered |  
| Keywords | Not entered |  
Contacts 
| Course organiser | Dr Susan Farrington Tel: (0131) 332 2471
 Email:
 | Course secretary | Mrs Maree Hardie Tel:
 Email:
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