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Design and Analysis of Experimentation (B-KUL-H02V8A)

3 ECTSEnglish20 First term
Diehl Martin
POC Materiaalkunde

Aims

At the end of this course, students will be able to describe and analyze experimental datasets and can design an experimental campaign that minimizes work load. They know features and limitations of statistical techniques for design and analysis of experimentation. This brings them into the position to choose a method that is suitable to draw statistically significant conclusions from raw data. Students have the proficency to use statistical software and can judge the validity of results from this software based on back-of-the-envelope calculation.

Previous knowledge

  • Mathematical background (linear algebra, analysis)
  • Basic programming knowledge (Python or MATLAB)

Order of Enrolment


This course unit is a prerequisite for taking the following course units:
H0T30A : Projectonderwijs materiaalkunde aansluitend bij de gemeenschappelijke opleidingsonderdelen: deel I

Is included in these courses of study

Activities

3 ects. Design and Analysis of Experimentation (B-KUL-H02V8a)

3 ECTSEnglishFormat: Practical20 First term
Diehl Martin
POC Materiaalkunde

Content

  • Data summary
  • Data visualization
  • Statistical hypothesis testing
  • Analysis of variance (ANOVA)
  • Design of experiments
  • Full and fractional factorial analysis
  • Regression
  • Response surface method

Course material

Knowledge clips and exercises will be provided. A copy of Engineering Statistics, 5 ed. by Montgomery, Runger, Hubele is required.

Format: more information

The course is designed as a flipped classroom. Knowledge clips are provided before the contact hours, contact hours are mainly used for exercises. Concepts are demonstrated on small examples on paper, software tools are used to work with larger datasets. Students define their own project to collect data which on which they apply the learned techniques.

Is also included in other courses

Evaluation

Evaluation: Design and Analysis of Experimentation (B-KUL-H22V8a)

Type : Partial or continuous assessment with (final) exam during the examination period
Description of evaluation : Written, Paper/Project
Type of questions : Open questions
Learning material : List of formulas, Calculator

Explanation


The evaluation consists of two parts: A project report (8/20) and a written exam (12/20).

Information about retaking exams

Students choose whether they want to repeat the project or not. The exam must be repeated.