Design of Experiments

2018/2019

Prerequisite/Recommended prerequisite for participation in the module

The module adds to the knowledge obtained in Applied Statistics

Content, progress and pedagogy of the module

Learning objectives

Knowledge

Students who have passed the module should be able to

  • Explain the establishment of experimental design with qualitative and quantitative factors
  • Account for complete, partial and confounding 2k and 3k factorial experiments
  • Explain incomplete block design and splitplot designs
  • Explain how to perform control experiments, including the use of central points
  • Account for orthogonal experimental design
  • Describe methods of optimization of the experimental factors and minimizing noise factors 
  • Account for regression analysis (including step-wise regression) of the drop in data
  • Explain response surface design

Skills

  • Develop study plans with qualitative and quantitative factors
  • Perform control experiments
  • Optimize the experimental factors
  • Minimize the noise factors
  • Use multiple analysis of variance and regression analyzes, including the combined variance and regression analyzes
  • Analyze experimental data and be able to evaluate the methods used, validity and usefulness 
  • Use statistical design of experiments in practice within the domain of quality / process optimization and to process the results by statistical methods on a computer

Type of instruction

Lectures and theoretical exercises

Extent and expected workload

150 hours

Exam

Exams

Name of examDesign of Experiments
Type of exam
Oral exam
Based on a prepared mini project
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAs stated in the Joint Programme Regulations

Facts about the module

Danish titleStatistisk forsøgsplanlægning
Module codeK-KT-B6-6
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Esbjerg
Responsible for the module

Organisation

Study BoardStudy Board of Biotechnology, Chemistry and Environmental Engineering
FacultyFaculty of Engineering and Science