Module Information

Module Identifier
BDM5520
Module Title
Research Methodology and Advances in Biosciences
Academic Year
2015/2016
Co-ordinator
Semester
Distance Learning
External Examiners
  • Professor Richard J Murphy (Professor - University of Surrey)
 
Other Staff

Course Delivery

 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment Summative on line assessments,  related to each statistical on line session  50%
Semester Assessment Interpretation of results/solutions applied to practice  25%
Semester Assessment Research Proposal  25%
Supplementary Assessment Students must take elements of assessment equivalent to those that led to failure  100%

Learning Outcomes

On successful completion of this module students should be able to:

1. Applying statistical knowledge in the context of postgraduate research.

2. Identifying appropriate methods for different types of data.

3. Anaylsing and interpret the results from a range of different statistical analyses.

4. Generating appropriate research hypotheses and research objectives.

Brief description

This module provides the tools necessary for carrying out independent research. Part 1 will cover quantitative and qualitative statistical methods for analyzing data. Part 2 will build towards the students identifying a suitable dissertation topic and will be taught to evaluate existing research published in a range of different sources. The students will also evaluate the different knowledge exchange mechanisms that are appropriate to the audience.

Content

The aim of this module is to provide training relevant to assessments within other modules, including the Masters dissertation. The module will cover the following principal areas:
Part 1: research skills
  • The nature of research and the research process
  • Evaluation of quantitative and qualitative research
  • Assessment of published research
  • Scientific writing and the production of a postgraduate dissertation
Part 1 has two assessments. The first assessment will evaluate the student's ability to review published literature, and synthesize and communicate their findings in a clear and concise manner. The second assessment is a research proposal on their choice of dissertation topic and will detail the hypothesis that will be tested, highlight some of the key research publications in their chosen area and present the experimental design they intend to implement, including detail on the statistical methods they intend to utilize.

Part 2: statistics
  • T-tests, ANOVA, post-hoc significance tests, data handling and presentation Correlation/Regression and Non-parametric tests.
  • Students will choose a further three sub-units from the following subject areas:
  • Multifactorial ANOVA, repeated measures, split plot ANOVA, Multivariate Analysis of Variance (MANOVA), principal component analysis, canonical variate analysis (CVA), discriminant function analysis (DFA), survey/questionnaire design and analysis, introduction to R.
Part 2 of the module will contain a range of recorded lectures detailing each statistical test and instructive guides on how to perform each statistical test using specialist statistics software. Online formative and summative assessments will test the student's understanding and application of each statistical test. Part 1 will contain a range of recorded lectures, interviews and other recorded material which will explore the nature of research and scientific publication.

Module Skills

Skills Type Skills details
Application of Number Students will be taught statistical techniques and expected to complete both formative and summative assessment.
Communication Students will be expected to be able to express themselves appropriately in their assignments.
Improving own Learning and Performance Detailed feedback will be given for assignment work.
Information Technology Students will be required to source information from a variety of scientific publication data bases and be taught to use specialist statistical software.
Personal Development and Career planning Research Project Plan – developed in collaboration with employer and supervisor.
Problem solving Online quizzes will be used to help develop and improve students problem solving skills.
Research skills Students will be required to undergo directed self study and so will develop their literature research skills.
Subject Specific Skills
Team work

Notes

This module is at CQFW Level 7