Design of Experiments and Statistical Analysis of Experimental Data

University of Trento, Department of Industrial Engineering

Modified

20250331

Course offered to students of Space and Science Technology PhD programme.

Contents:

  1. Intro to Statistics
  2. Intro to R language
  3. Regression
  4. K-fold cross validation
  5. DoE
Code Repository

The code is also made available on GitHub: https://github.com/pbosetti/DESAnED

Bibliography

  1. Douglas C. Montgomery, “Design and Analysis of Experiments”, 10th edition, Wiley, 2019, ISBN: 978-1-119-49244-3 (any cheaper edition is OK)
  2. Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund, “R for Data Science”, 2nd edition, O’Reilly, 2017, ISBN: 978-1492097402, (also online for free at https://r4ds.hadley.nz)
  3. François Chollet with J. J. Allaire, “Deep Learning with R”, 2nd edition, Manning, 2019, ISBN 9781617295546