QM: Measurement Techniques Test

2 - Written exam - 50

QM: Mathematics test

1 - Written exam - 50

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Feedback is provided in a number of ways throughout your module. This includes feedback you receive during teaching from both peers and lecturers and that provided for formative assessment. Following an assessment, you will be given your marks and feedback in line with the assessment regulations and policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. <a href='https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations'>https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations</a>

This module will support the development of all the graduate attributes. Your module leader will provide you with information about how your learning, teaching and assessment activities support your development of these attributes. The graduate attributes are: - Always learning - Engaged in the world - Technical and digital - Connected Professional - Creating Impact

Self-directed - 

Hybrid - 

Synchronous online - 

Introduction to Medical Statistics.

The Ophthalmic Assistant: A Text for Allied and Associated Ophthalmic Personnel.

Practical Statistics for Medical Research.

OV1115 - Quantitative Methods for Optometry (QMO)

OV1115-PRD1-ALV1

You will be taught via a mixture of lectures, tutorials and self-directed learning with e-material delivered by Moodle (the university’s virtual learning environment). The latter will be used to provide a focal point for the weekly mathematics teaching. Lectures are used to communicate core material and as a foundation for further reading. Lecture notes are provided on Moodle. In addition, the lectures are supported by tutorials, which allow for more interactive exercises. As well as reading the additional reading material provided in Moodle, you will use your self directed study time to work through graduated worksheets and tutorials on Moodle. You will be provided with formative feedback based on the worksheets throughout the year. 
 
This module’s contact hours will be delivered using a number of different approaches. As an example, you may have a combination of in-person sessions (i.e. face to face on campus), and/or online synchronous sessions (participants are engaged at the same time online) and online asynchronous guided activities (you need to plan time to engage with these so you are prepared for the in person and synchronous sessions. These may include viewing recorded lectures and/or other online resources, reading materials, undertaking quizzes, completing exercises and chatting on forums.) In addition to these teaching delivery approaches, you will undertake your own independent study, which may involve wider reading, independent research, skills practice and preparation for assessment. Please see this module’s Moodle page and/or handbook for further information.

Quantitative Methods for Optometry (QMO)

Skills

Demonstrate ability to handle data from experiments 

Knowledge

Identify and solve mathematical problems 

Carry out analysis using statistical software 

Develop the ability to work together with your peers on projects 

Values and attitudes

Practice skills in key mathematics needed to study optics 

Demonstrate sufficient understanding of mathematical concepts relevant to the study of optometry and visual science 