1. Sample size and Statistical Inference 2. Introduction to Desing of Experiments 3. Factorial Experiments 4. Screening Experiments 5. Response Surface Experiments 6. DOE Guidelines 7. Sampling techniques
Tipus d’activitat Hores amb professor Hores sense professor Hores virtuals amb professor Total Resolució d'exercicis 0 3,00 0 3,00 Sessió expositiva 5,00 7,00 0 12,00 Sessió pràctica 5,00 5,00 0 10,00 Total 10,00 15,00 0 25
Montgomery, Douglas C.. (2000). Design and analysis of experiments (5th ed.). New York [etc.]: John Wiley & Sons. Catàleg
Participation in classes and exercises proposed during and after the sessions. The student will pass the course if: 1) they have attended 80% of the sessions, 2) they have delivered all exercises on time and 3) have a rating of 5 or more in delivered exercises. Criteris específics de la nota «No Presentat»:Failure to attend to the sessions and delivery of the exercises will result in a "Unpresented" (No Presentat). Avaluació única:Students have to attend at least 80% of the sessions at the scheduled times. During and after sessions, students will be required to do exercises through the Moodle platform. All exercises of the course will have to be completed at most fifteen days after the last session of the course. Requisits mínims per aprovar:Rating of 5 or more in delivered exercises
Communication between students and teacher will be through the usual Moodle channels and through mail.
The material will be in English and the classes will be held in English. Prior knowledge of the following concepts is required: *Parameter estimation *Confidence intervals *Hypotheses testing The free software R and RStudio and the GRANMO online calculator will be used.