Module title: Scientific Communication - Dissertation and Statistics [Hong Kong}

SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: MIC09607
Module leader: Nick Wheelhouse
School School of Applied Sciences
Subject area group: Microbiology & Drug Discovery
Prerequisites

n/a

2017/8, Trimester 3, Blended,
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.


Formative Assessment:
The University is currently undertaking work to improve the quality of information provided on methods of assessment and feedback. Please refer to the section on Learning and Teaching Approaches above for further information about this module’s learning, teaching and assessment practices, including formative and summative approaches.

Summative Assessment:
The University is currently undertaking work to improve the quality of information provided on methods of assessment and feedback. Please refer to the section on Learning and Teaching Approaches above for further information about this module’s learning, teaching and assessment practices, including formative and summative approaches.

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 15
Face To Face Practical classes and workshops 25
Independent Learning Guided independent study 160
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Digital Examination (not Centrally Timetabled) 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

Description of module content:

In this module you will review primary scientific literature on an agreed topic relating to your area of study. You will search for and abstract from relevant primary literature and write a 3000 word review using Harvard style citations throughout. You will present potentially conflicting information in a scientific and objective style. In the statistics part of the module you will formulate appropriate experimental designs for a variety of circumstances and analyse data using analysis of variance, regression analysis and repeated measures techniques and learn when it is appropriate to use each of these methods.
Use of online electronic databases. Identification of primary sources of literature. Abstraction of information. Interpretation of data. Writing in a scientific style. Presentation of conflicting arguments. Consideration of how to design experiments Analysis of data using appropriate statistical methods.

Learning Outcomes for module:

LO1: Choose a topic relevant and appropriate to your subject area
LO2: Search for, compare and evaluate primary literature on the topic.
LO3: Construct an outline of the review and a preliminary list of sources.
LO4: Examine scientific argument and present a balanced and critical review.
LO5: Present information in a logical and scientific style.
LO6: Determine appropriate statistical methods to analyse data from experiments.


Indicative References and Reading List - URL:

Please contact your Module Leader for details
Click here to view the LibrarySearch.