Hours:
20 hours (5 credits)

Room:

Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa - Ground Floor
Aula Riunioni del Piano 6 del Dipartimento di Ingegneria dell’Informazione, Largo Lucio Lazzarino 1, Pisa

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Short Abstract:

This course will focus on the complexity of data collected in engineering experimental research. Therefore, the course will focus on topics like experiment design, sample size estimation, and multi-factorial methods. First, basic designs of experimental studies will be discussed, then a review of some well-known and widely used parametric and non-parametric methods will be provided. After that, the course will describe the concept of statistical power and its practical application in the choices to be made in experimental research. The last part of the course will focus on the differences between statistical analysis and Machine Learning approaches, to make PhD students aware of the most appropriate tool to be used in their own research.

The aim of the course is to make PhD students able to write a full statistical analysis plan, analyze at least part of their data and write a preliminary result section for documentation of any statistical procedures they have used.

 Course Contents in brief:

1. Experimental design: observational, case-control, retrospective, prospective.
2. Brief recap on descriptive and inferential statistics.
3. The ability to understand the assumptions and perform the following statistical tests: Multifactorial ANOVA, Repeated measures ANOVA, Multiple and non-linear regression, Survival Analysis.
4. Understand power and sample-size calculation (sample-size considerations) and perform them in the specific context of own studies.
5. Increase statistical power through surrogate data analysis.
6. When to choose between statistical analysis and Machine Learning approaches. 

Schedule:

1. 11/12/2023: 14:00 - 18:00, Aula Riunioni del Piano Terra - via Caruso 
2. 12/12/2023: 14:00 - 18:00, Aula Riunioni del Piano Terra - via Caruso
3. 13/12/2023: 14:00 - 18:00, Aula Riunioni del Piano Terra - via Caruso 
4. 15/12/2023: 14:00 - 18:00, Aula Riunioni del Piano 6 - Largo Lucio Lazzarino 
5. 18/12/2023: 14:00 - 18:00, Aula Riunioni del Piano Terra - via Caruso