Full Title:Research Design, Statistics & Ethics
Module Code:RESA S8002
Credits: 5
Valid From:Semester 1 - 2013/14 ( September 2013 )
Module Delivered in 4 programme(s)
Module Description:The aims of this module are: - To increase student awareness of research design and the main ethical issues associated with modern research. - To stimulate discussion on ethical issues. - To enable students to perform and evaluate statistical tests used for experimental design and data analysis.
Learning Outcomes:
On successful completion of this module the learner should be able to
  1. Describe, discuss and evaluate a range of methods employed in the design of experiments and the analysis of data
  2. Describe and critically analyse the main ethical issues associated with current and future developments in biotechnology, medical research and/or environmental research
  3. Articulate and argue their personal, informed viewpoints on research-related ethical issues.
  4. Discuss and evaluate the importance and relevance of intellectual property (IP) within a scientific context
  5. Perform and evaluate statistical tests commonly used for data analysis

Module Content & Assessment

Indicative Content
Values, beliefs and virtues used in applying ethical and regulatory frameworks; the application of national and international legislation, agreements conventions and guidelines; decision making and whistle blowing.
Design of laboratory experiments and clinical trials. Evaluation of reliability and validity; data storage, statistical analysis and confidentiality of results.
International and national ethical and regulatory frameworks and their relevance.
Intellectual Property (IP): Differences between artistic (copyright) and industrial property (inc. trademarks, patents, etc.). Overview of the importance and application of industrial property in the area of Biopharmaceutical Science.
Experimental designs for process improvement
Data Protection
Project planning tools (e.g. MS project, Gantt charts).
Simple comparative experiments.
The ANOVA model
Randomisation, blocking, replication and comparison
One factor at a time versus multi-factor experiments
Factorial designs
Assessment Breakdown%
Course Work100.00%

Full Time

Course Work
Assessment Type Assessment Description Outcome addressed % of total Marks Out Of Pass Marks Assessment Date Duration
Group Project Students will be divided into groups (3-5 students) and write a research proposal and/or case study to be explained and presented orally to a 'mock' Research Ethics Committee. The study will involve current research methodologies and ethical issues (and statistical analysis methods where appropriate). Marks will be allocated for the written report, the presentation, keeping a (group) journal and a questions and answers session. 1,2,3,4,5 75.00 0 0 Sem 1 End 0
Other An individual statistical data analysis assignment will be used to assess students on statistical experimental design and/or the analysis of scientific results. Use of the statistics package Minitab will be an integral part of the course. 1,5 25.00 0 0 Sem 1 End 0
No Project
No Practical
No End of Module Formal Examination
Reassessment Requirement
No repeat examination
Reassessment of this module will be offered solely on the basis of coursework and a repeat examination will not be offered.

DKIT reserves the right to alter the nature and timings of assessment


Module Workload & Resources

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 1.00 Every Week 1.00
Tutorial No Description 2.00 Every Week 2.00
Directed Reading No Description 1.00 Every Week 1.00
Practical No Description 2.00 Every Week 2.00
Independent Study No Description 3.00 Every Week 3.00
Total Weekly Learner Workload 9.00
Total Weekly Contact Hours 5.00
This course has no Part Time workload.
Recommended Book Resources
  • Dawson, C. 2009, Introduction to research methods: A practical guide for anyone undertaking a research project, 4th ed. Ed., How To Books Ltd.
  • Mullins, E. 2003, Statistics for the quality control chemistry laboratory, Royal Society of Chemistry
  • Denscombe, M. 2010, The good research guide, 4th ed. Ed., Open University Press
  • Beauchamp, T. L. and Childress, J. F. 2002, Principles of medical bioethics, 5th Ed., Oxford University Press,
  • Blaxter, L., Hughes, C. and Tight, M. 2010, How to research, 4th ed. Ed., Open University Press
  • Goddard, W. and Melville, S. 2007, Research methodology: An introduction, 2nd ed. Ed., McGraw-Hill
  • Box, G.E.P., Hunter, W.G. and Hunter, J.S. 2005, Statistics for experimenters, John Wiley & Sons
  • Helsel, Dennis. R. and Robert M. Hirsch 2002, Statistical Methods in Water Resources, Techniques of Water Resources Investigations, Book 4 Ed., A3, USGS
This module does not have any article/paper resources
Other Resources

Module Delivered in

Programme Code Programme Semester Delivery
DK_SBIOP_8 Bachelor of Science (Honours) in Biopharmaceutical Science 1 Mandatory
DK_SENBI_8 Bachelor of Science (Honours) in Environmental Biology 7 Mandatory
DK_SENVI_8 Bachelor of Science (Honours) in Environmental Bioscience 7 Mandatory
DK_SBIOP_8a Diploma in Biopharmaceutical Processing 1 Mandatory