MAR8005 : Design and Implementation of Experiments
- Offered for Year: 2019/20
- Module Leader(s): Professor Bob Dow
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
|Semester 2 Credit Value:||10|
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.
|Guided Independent Study||Assessment preparation and completion||1||1:00||1:00||Class Test|
|Scheduled Learning And Teaching Activities||Lecture||24||1:00||24:00||Including Tutorials|
|Guided Independent Study||Assessment preparation and completion||1||7:30||7:30||Coursework|
|Guided Independent Study||Assessment preparation and completion||1||1:30||1:30||Examination|
|Scheduled Learning And Teaching Activities||Practical||12||2:00||24:00||Computer Class|
|Guided Independent Study||Directed research and reading||1||24:00||24:00||Consolidating lecture notes and further reading|
|Guided Independent Study||Independent study||1||12:00||12:00||Examination Revision|
|Guided Independent Study||Independent study||1||6:00||6:00||Class 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).
The format of resits will be determined by the Board of Examiners
|Prob solv exercises||2||M||10||Approx 7.5 hours|
|Written exercise||2||M||40||Word 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.