2024/25 Undergraduate Module Catalogue
BMSC2344 Experimental Skills in Medical Sciences
20 creditsClass Size: 66
Module manager: Dr Michael Harrison
Email: M.A.Harrison@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2024/25
Pre-requisite qualifications
Satisfactory completion of a level 1 BMS practical skills module, or equivalentPre-requisites
BMSC1303 | Practical application of Clinical, Laboratory and Field Skil |
This module is mutually exclusive with
BMSC2341 | Experimental Skills in Pharmacology |
BMSC2342 | Experimental Skills in Neuroscience |
BMSC2343 | Experimental Skills in Human Physiology |
This module is not approved as a discovery module
Module summary
The module will provide students with opportunities to further develop their experimental, technical and computational skills. Working in teams, they will plan and carry out a range of practical activities, including laboratory-based experimental projects and computational work. Students will explore principles of experimental design, hypothesis testing and develop more advanced skills in data evaluation using statistical methods. The module will also focus on dissemination of experimental findings using written reports and other communication formats.Objectives
The overall aim of this module is to allow students to develop their research-relevant experimental and analytical skills beyond the basic level, providing them with opportunities to contribute to experimental design and planning. Analysis of experimental data will require a wider repertoire of statistical and computational skills. Interpreting and communicating the experimental findings will require skills in integrating prior knowledge from the scientific literature with data obtained using a variety of methods.Learning outcomes
On successful completion of the module students will be able to:
1. Design and perform experiments to answer biomedical science-based hypotheses.
2. Critically evaluate and use the scientific literature to develop hypotheses and interpret findings.
3. Analyse and interpret experimental results collected using biomedical science techniques.
Skills Learning Outcomes
On successful completion of the module students will be able to:
4. Communicate experimental design plans and research findings in a clear, concise, focused and structured manner.
5. Use scientific software to carry out analysis and statistical testing of experimental results.
6. Evidence further development of research skills relevant to modern biomedical sciences, including successful execution of laboratory work.
Syllabus
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 3 | 1.00 | 3.00 |
Lecture | 3 | 1.50 | 4.50 |
Practical | 1 | 3.00 | 3.00 |
Practical | 4 | 1.00 | 4.00 |
Practical | 7 | 6.00 | 42.00 |
Seminar | 4 | 1.00 | 4.00 |
Seminar | 13 | 2.00 | 26.00 |
Private study hours | 113.50 | ||
Total Contact hours | 86.50 | ||
Total hours (100hr per 10 credits) | 200.00 |
Opportunities for Formative Feedback
Attendance at practicals, workshops, and computer-based learning sessions. Students will also be able to use feedback from experimental reports in Year 1. A team project plan (including outline experimental design, hypothesis, aims, objectives) in Semester 1 will be prepared for feedback/feed forward guidance before preparing the same type of plan for the Semester 2 team project that is summatively assessed.Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Practical Report | Laboratory report 1 | 40.00 |
Practical Report | Laboratory report 2 | 50.00 |
Group Project | Group project | 10.00 |
Practical | Technical Skills Passport - P/F | 0.00 |
Total percentage (Assessment Coursework) | 100.00 |
The Technical Skills Passport is pass/fail and a pass must be achieved to pass the module, otherwise a V code will be applied.
Reading list
The reading list is available from the Library websiteLast updated: 29/04/2024 16:10:50
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