2022/3, Trimester 3, Blended,
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Occurrence: | 003 |
Primary mode of delivery: | Blended |
Location of delivery: | HONG KONG |
Partner: | |
Member of staff responsible for delivering module: | Nick Wheelhouse |
Module Organiser: | |
Learning, Teaching and Assessment (LTA) Approach: |
For the dissertation (word limit 3000) the student will be expected to choose a topic under guidance from staff (LO1) and search for, compare and evaluate primary scientific literature (LO2). Lectures will be given to explain the nature of a dissertation, and to explain its structure and presentation. Practical classes will be provided to give guidance on bibliographic database and other electronic searching. The first two Tutorials will be provided on a one-to-one basis to support the processes of choice of topic (LO1), information gathering (LO2), critical review (LO4), structuring of the dissertation (LO3) and presentation in a logical and scientific style (LO5). The third tutorial will present the students with examples of good and bad practice in writing, presentation and citation (LO4 and LO5) and they will mark these according to the module Marking Criteria.Statistics will be taught by a mixture of lectures and practical classes. In lectures the theory of the various statistical tests will be explained, and when particular tests should be used will be discussed (LO6). Students will have the opportunity to practise the various tests in the computer laboratories, and their abilities will be tested in through the series of lab assessments and test.Questioning is encouraged during face-to-face teaching in lectures, practicals, tutorials and on-line using Moodle discussion forums. Personalised feedback is given during Tutorials 1 and 2 and on the final submitted dissertation. Feedback on lab assessments will be given through Moodle. Students will be given specific guidance on the use of Turnitin® for self-evaluation of the originality of their work, in addition to its use for electronic submission on Moodle for assessment of coursework.
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For the Dissertation component, Formative assessment occurs during Tutorial 1 when students are given feedback on choice of topic, in Tutorial 2 when students present an outline and list of references and in Tutorial 3 when students will assess examples of good and bad practice using the module marking criteria. For the Statistics component, formative assessment takes the form of digital exams from which feedback is available; this also provides summative assessment (20%) as does the final digital exam (30%).
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Summative assessment takes the form of a Moodle online Quiz on referencing (10%) and the dissertation (40%).For the Statistics component, formative assessment takes the form of digital exams from which feedback is available; this also provides summative assessment (20%) as does the final digital exam (30%).
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Student Activity (Notional Equivalent Study Hours (NESH)) |
Mode of activity | Learning & Teaching Activity | NESH (Study Hours) |
Face To Face | Lecture | 15 |
Face To Face | Practical classes and workshops | 25 |
Independent Learning | Guided independent study | 160 |
| Total Study Hours | 200 |
| Expected Total Study Hours for Module | 200 |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
Centrally Time Tabled Examination | 10 | 5 | 11 | HOURS= 0.45, WORDS= 0 |
Dissertation | 40 | 2,4,5 | 13 | HOURS= 0, WORDS= 3000 |
Class Test | 20 | 6 | 9 | HOURS= 1, WORDS= 0 |
Class Test | 30 | 6 | 14 | HOURS= 2, WORDS= 0 |
Component 1 subtotal: | 50 | |
Component 2 subtotal: | 50 | | | |
Module subtotal: | 100 | | | |