Design of Experiments and Statistical Analysis of Experimental Data

University of Trento, Department of Industrial Engineering

Modified

20241205

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, Garrett Grolemund, “R for Data Science”, 1st edition, O’Reilly, 2017, ISBN: 978-1491910399, (also online at https://r4ds.had.co.nz)
  3. François Chollet with J. J. Allaire, “Deep Learning with R”, 2nd edition, Manning, 2019, ISBN 9781617295546