- UCAS course code
- UCAS institution code
This course may be available through clearing
BSc Optometry / Course details
Year of entry: 2020
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Course unit details:
Clinical Methodology 3
|Unit level||Level 2|
|Teaching period(s)||Semester 2|
|Available as a free choice unit?||No|
|Unit title||Unit code||Requirement type||Description|
|Clinical Methodology 2||OPTO22051||Pre-Requisite||Compulsory|
To provide experience of scientific calculations, data analysis, experimental design and the use of scientific software, with an emphasis on optometry and vision science requirements.
- Develop an understanding of the difference between parametric and non-parametric data and select appropriate statistical inference tests for each case.
- Be able to select and apply appropriate statistical tests and extract parameter values from experimental data.
- Be able to use appropriate software; modify images; search online patent libraries.
- Be more familiar with data underlying the understanding of function.
This course is delivered through Blackboard, there are no Lectures.
- Parametric statistical tests (1 week) - 11%
- Dealing with non-parametric data (1 week) - 11%
- Non-parametric statistical tests (1 week) - 11%
- Designing experiments and presenting results (1 week) - 11%
- Manipulating images in Paint Shop Pro (1 week) - 11%
- Patents and commercial exploitation (1 week) - 11%
- Case study on Rhodopsin structure (1 week) - 11%
- Case study using visual acuity data part 1 (1 week) - 11%
- Case study using visual acuity data part 2 (1 week) - 11%
*Cumulative score on the assessed questions must exceed 70% for a pass. Passing this OPTO22062 course is required in order to pass the Personal and Professional Development module.
Immediate feedback on submission of answers to practice quizzes and questions, including tips on questions that have been answered incorrectly. Score on submission of each assessment, along with a running total and average mark.
- Aitken MRF, Broadhurst RW & Hladky SB (2010) Mathematics for Biological Scientists, Garland Science
- Ennos AR (2012) Statistical and Data Handling Skills in Biology (3rd Edition), Prentice Hall
- Phoenix D (1997) Introductory Mathematics for the Life Sciences, CRC Press
- Ennos R., Johnson M.L. (2018) Statistical and Data Handling Skills in Biology (4th Edition), Pearson.
|Independent study hours|
|Stephen Prince||Unit coordinator|