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DRPS : Course Catalogue : Deanery of Clinical Sciences : Internal Medicine

Postgraduate Course: Skills for Evidence Based Practice (IMED11024)

Course Outline
SchoolDeanery of Clinical Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis programme should ensure that the student is equipped with the IT, literature searching, and basic statistical skills necessary to cope with the activities planned in later modules.
Course description We will introduce writing skills, plagiarism and referencing and will demonstrate and encourage use of appropriate referencing software. Online tutorials and advice about using the virtual learning environment (VLE) (Blackboard Collaborate) and the virtual classroom (e.g. Wimba) will be delivered. Students will be expected to actively use these tools throughout the course to create pieces of solo and group work e.g. making presentations, reviewing journal article and writing short review articles. We will demonstrate the tools and resources available to perform good, thorough and accurate literature searching both within the University library services and on the world-wide web. We will discuss how to conduct literature appraisal, and discuss the concept of evidence-based medicine. They will receive some initial information on statistics that will be developed in later modules. The University transferable skills team and librarians will be working with us to tailor these module to the students needs. This module will be completed entirely on-line with minimal tutor involvement allowing students to do this independently in advance of entering on to any part of the course. This is particularly helpful for those doing stand-alone modules within the VLE as part of another course.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Course Start Date
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Seminar/Tutorial Hours 5, Online Activities 20, Summative Assessment Hours 10, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 63 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% coursework
The assessment is coursework: online MCQ and a written assignment.
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Navigate and use the online Virtual Learning Environment
  2. Understand and utilise basic statistical techniques
  3. Understand the principles of appraisal and use these to critically appraise academic papers
  4. Understand and demonstrate the principles underlying good academic writing including plagarism
  5. Understand how to create search terms and perform comprehensive literature searches
Reading List
Key articles will be referred to at relevant points during the course.
Additional Information
Graduate Attributes and Skills Within the work to be undertaken this course will provide participants with the opportunity to develop or further develop key graduate attributes:
1. In-depth knowledge of specialist discipline
2. Develop new understanding by exercising critical judgement and challenging knowledge
3. Be a self-directed learner
4. Solve problems effectively taking ethical, professional and environmental issues into account
5. Use information responsibly in a range of contexts
6. Collaborate with others, capitalising on their different thinking, experience and skills
7. Communicate (oral, written, online) effectively, respectful of social and cultural diversity
8. Application of numeracy
9. Application of IT
KeywordsIntroductory,generic,literature appraisal,literature searching,statistics,IT
Course organiserDr Frances Parry
Tel: (0131 5)37 1822
Course secretaryMiss Shu Yang
Tel: 0131 537 2503
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