| Module Code | ST7003 |
| Module Name | Design and Analysis of Experiments |
| ECTS Weighting[1] | 10 ECTS |
| Semester taught | Semester 2 |
| Module Coordinator/s | TBA |
Module Learning Outcomes
On successful completion of this module, students will be able to:
- Compare and contrast observational and experimental studies;
- Describe and explain the roles of control, blocking, randomisation and replication in experimentation;
- Explain the advantages of statistical designs for multifactor experiments;
- Describe and explain the genesis of a range of basic experimental design structures; Implement and interpret the analysis of variance for a range of experimental designs;
- Describe the models underlying the analysis of variance for a range of basic experimental designs;
- Produce and interpret graphs for data summary and model diagnostics;
- Provide outline descriptions of more elaborate designs and data analyses;
- Outline strategic issues involved in the design and implementation of experiments;
Module Content
The need for experiments Experimental and observational studies Cause and effect Control Basic design principles for experiments Control Blocking (pairing) Randomisation Replication Factorial structure Standard designs Randomised blocks Two-level factors Multi-level factors Split units Analysis of experimental data Exploratory data analysis Effect estimation and significance testing Analysis of variance Statistical models, fixed and random effects Model validation, diagnostics Review topics Block structure and treatment structure Repeated measures Analysis of Covariance Clinical trials Response surface designs Robust designs Non-Normal errors Strategies for Experimentation.
Teaching and learning Methods
Lecture hours: 20
Lab hours: 4
Assessment Details
Examination 3 hour written examination: 100%
| Assessment Component | Brief Description | Learning Outcomes Addressed | % of total | Week set | Week Due |
Reassessment Details
Examination (3 hours, 100%)
Contact Hours and Indicative Student Workload
| Contact Hours (scheduled hours per student over full module), broken down by: | 24 hours |
| Lecture | 20 hours |
| Laboratory | 4 hours |
| Tutorial or seminar | 0 hours |
| Other | 0 hours |
| Independent study (outside scheduled contact hours), broken down by: | 72 hours |
| Preparation for classes and review of material (including preparation for examination, if applicable | 0 hours |
| completion of assessments (including examination, if applicable) | 0 hours |
| Total Hours | 96 hours |
Recommended Reading List
Core material: Mullins, E., Statistics for the Quality Control Chemistry Laboratory, Royal Society of Chemistry, 2003, particularly Chapters 4-5, 7-8.
Suggested Text: Montgomery, D.C., Design and analysis of experiments, 8th ed., Wiley, 2013.
Alternative Text: Dean, Angela and Voss, Daniel, Design and analysis of experiments, Springer, 1999.
Recommended Reading (not essential for examination purposes): Box, G.E.P, Hunter, J.S. and Hunter, W.G., Statistics for Experimenters, 2nd. ed., Wiley, 2005. Cox, D.R., Planning of Experiments, Wiley, 1958. Daniel, C., Applications of Statistics to Industrial Experimentation, Wiley, 1976. Fisher, R.A.,
The Design of Experiments, Oliver and Boyd, 1935, (8th ed. 1966). Mead, R., Gilmour, SG and Mead, A, Statistical Principles for the Design of Experiments: Applications to Real Experiments, Cambridge University Press, 2012. Robinson, G.K., Practical Strategies for Experimenting, Wiley, 2000. Supplemental lectures notes available on course website.
Module Pre-requisites
Prerequisite modules: Base module ST7001
Other/alternative non-module prerequisites:
Module Co-requisites
None