To introduce students to the fundamentals of data collection and analysis strategies to support their research methodologies

Introduction to Scientific Method Introduction to Mapping Techniques Introduction to Design of Experiments Analytical Statistics and the Development of Data Collection Strategies Enumerative and Analytical Sampling Methodologies Survey Structuring and Analysis Process Variation and Control

Upon completion of this module students will be able to: 1. Describe the key elements of data collection 2. Demonstrate an understanding of the appropriate analysis tool for a given design situation 3. Describe the key elements and tools used in analysis 4. Evaluate designs based on detailed statistical analysis 5. Develop appropriate design experiments for prototype assessment 6. Demonstrate and understanding of the importance of collaboration with all stakeholders of research project

On successful completion of this module students will be able to appreciate the role of scientific method in research

None

Delivery will be through a blended learning approach. This will include face-to-face classroom workshops, webinars and moderated discussion boards. Material will be introduced through expert workshops and learning will be developed through prescribed readings and other activities such as case studies, simulations, online activities, computational problems and other media. A series of tutor facilitated skills based workshops held for each module at which practical exercises and applications reinforce the learning material studied by participants in the on-line environment. This mode guides participants through material but requires them to deploy the learning in their own organisation through the delivery of an in-company project. Assessment of students will be based on a combination of regular assignments submitted throughout the course in conjunction with research progression. 1) Be knowledgeable of the requirements for structuring studies to progess research using scientific method 2) Be creative in structuring statistical studies for robust analysis 3) Understand the importance of correectly designing studies to support the research 4) Be articulate in presenting and describing the results of the statistical studies 5) Be appreciative of the impact on variation in studies