Content, progress and pedagogy of the
module
The module builds upon knowledge obtained in the modules Applied
Statistics and Probability Theory.
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 using digital platforms
- 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 using digital platforms
- 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, including e-learning
activities.
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 exam based on a project
Oral examination based on a submitted written assignment. |
ECTS | 5 |
Assessment | Passed/Not Passed |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination
Policies and Procedures |