Prerequisite/Recommended prerequisite for participation in the module

The module builds upon knowledge obtained in the modules Applied Statistics and Probability Theory or similar.

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Understand methodology for design of experiments and test series and for reduction of ambiguity of experimental results, and for comparability with model predictions
• Explain elementary and advanced quantification tools, and their application to validation between model  and experiment data
• Account for common contemporary methods and relevant specific industry standards
• Understand processing methods for analog and digital data (continuous vs. discrete)

Skills

• Scrutinize a non-trivial physical systems for appropriate experimental study
• Isolate principal measurable parameters
• Design an experiment matrix for systematic variation of parameters
• Perform a probabilistic study of the experimental data in order to quantify the influence of individual parameters
• Scrutinize a model (analytical or numerical) for comparison with an appropriate experimental study
• Isolate principal input parameters and their known or assumed statistical variations
• Perform a probabilistic study of the model in order to quantify the level of confidence
• Account for the level of coherence between test results and model predictions
• Identify invalid data (outliers)
• Account for common errors and limitations in the processing of model data or experimentally obtained data

Competences

• Undertake experiment planning and execution for refinement and validation (or rejection) of model-based predictions of phenomena within their principal line of study

Type of instruction

The course is taught by a mixture of lectures, workshops, exercises, mini-projects and self-studies.

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student.

Exam

Exams

Name of exam	Test and Validation
Type of exam	Oral examination and exercises
ECTS	5
Permitted aids	With certain aids, see list below Unless otherwise stated in the course description in Moodle, it is permitted to bring all kinds of (engineering) aids including books, notes and advanced calculators. If the student brings a computer, it is not permitted to have access to the Internet and the teaching materials from Moodle must therefore be down loaded in advance on the computer. It is emphasized that no form of electronic communication must take place.
Assessment	Passed/Not Passed
Type of grading	Internal examination
Criteria of assessment	As stated in the Joint Programme Regulations. http:/​/​www.engineering.aau.dk/​uddannelse/​studieadministration/​