MAR8005 : Design and Implementation of Experiments

Semester 2 Credit Value: 10
ECTS Credits: 5.0


To introduce students to formal ways of designing experiments and to the practical aspects involved in their implementation.

Students will have an understanding of the requirements of data collection and data analysis and of a range of experimental designs that are applicable both in the laboratory and the production plant for process performance enhancement, process understanding and process optimisation. They will also understand the practical issues involved in designing and carrying out physical experiments.

Outline Of Syllabus

Formal lectures will consist of two parts; statistical methods and design and management of experiments. The first part will consist of hypothesis testing; confidence intervals for variance and standard deviation using the chi-square distribution; comparison of variances using F-distribution. The second part is concerned with completely randomised designs, randomised block designs, fixed and random effects; factorial designs, replication, fractional replication, confounding, composite designs, response surface methods and factorial experimentation during production (Evolutionary operations - EVOP); hierarchial models. In addition students will be introduced to practical issues relating to designing and physically carrying out experiments, such as recourse management, planning of costing, equipment selection, data recording and processing methods. The statistical practicals will be based on MATLAB. Experimental studies incorporating the methods taught will be undertaken, set in the context of marine science and technology.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion11:001:00Class Test
Scheduled Learning And Teaching ActivitiesLecture241:0024:00Including Tutorials
Guided Independent StudyAssessment preparation and completion17:307:30Coursework
Guided Independent StudyAssessment preparation and completion11:301:30Examination
Scheduled Learning And Teaching ActivitiesPractical122:0024:00Computer Class
Guided Independent StudyDirected research and reading124:0024:00Consolidating lecture notes and further reading
Guided Independent StudyIndependent study112:0012:00Examination Revision
Guided Independent StudyIndependent study16:006:00Class Test Revision
Teaching Rationale And Relationship

Lectures convey the statistical concepts and theory and their application in experimental design. Classes support the learning introduced in lectures through the students having the opportunity to apply the concepts to a number of problems varying in terms of complexity(IKO1-3). The computer classes allow the completion of assignment work on statistical design and its practical implementation (ISO1-4).

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination902A50N/A
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises2M10Approx 7.5 hours
Written exercise2M40Word Count 1000
Assessment Rationale And Relationship

In the statistical design, the assignments allow engineering problems to be set and solved using computer software. They also provide the opportunity for the key skills listed above to be assessed and implemented. The examination enables the assessment of whether the students have understood the difference in the methodologies and whether they are sufficiently conversant with the different techniques to enable them to use them in a practical situation. A further coursework and class test allows the students to apply the techniques in the context of physical experiments in the sphere of marine science and technology.
The Graduate Skills Framework entries indicated as 'A' are also assessed in this way.

Reading Lists