Guest lecturers ANDREA IANIRO - UNIVERSIDAD CARLOS III – MADRID Dr. Ianiro received Bachelor (2006), Master (2008) and PhD Degrees in Aerospace Engineering (2012) from the Università di Napoli Federico II. After a postdoctoral research fellowship at the University of Naples (June 2012- May 2013) Dr. Ianiro joined the Universidad Carlos III de Madrid where he is now a Full Professor. His research interests include experimental studies on aeronautical flows, nonstationary phenomena in aerodynamics and heat transfer, and the development of methodologies for simplified models through modal analysis and/or artificial intelligence. Dr. Ianiro received several awards, including the Rem Soloukhin Gold Hand Award for Young Scientists (International Symposium of Flow Visualization) and the Yasuki Nakayama Medal (FLUCOME 2019 congress). Dr. Ianiro has co-directed five doctoral theses (evaluated with the highest qualification: one Eccellente in Italy and four cum laude in Spain) focusing on non-stationary processes in aerodynamics and heat transfer and on turbulent boundary layers. He is currently codirecting four more PhD theses on wall turbulence and the use of artificial intelligence in turbulence. His international collaborations include institutions in Europe, North America, and Asia. Dr. Ianiro participated in several competitive regional, national, and European research projects. I have received funding as principal investigator fo three national projects in the periods 2017-2020 and 2020-2023, 2022-2024, and a regional project (2020-2022). In addition, Dr. Ianiro participated to several research contracts, being PI of several of them funded by Airbus. His scientific contributions have received substantial recognition in the scientific community. He is member of several conference boards, among which it is remarkable the participation in the International Organizing Board of the International Symposia on Flow Visualization. His research results have been published in a total of 50 journal articles indexed in the JCR, 39 of which are in first quartile journals. The articles have received more than 1100 citations to date with an h-index of 19 according to JCR. Dr. Ianiro has been invited to give lectures and advanced courses, which include a doctoral course (15 hours) at the KTH University of Stockholm in 2016 and the organization of a prestigious Lecture Series at the Von Karman Institute for Fluid Dynamics on the application of artificial intelligence in fluid mechanics. He also have co-edited two books titled Experimental Aerodynamics (Taylor and Francis, CRC Press, 2017) and Data-driven Fluid Mechanics (Cambridge University Press, 2023).

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Provide students with a critical look at the information they are exposed to. Skepticism and scientific method are essential to discern between true data, false data and manipulated information. Title: The Art of Skepticism in a Data-Driven World The goal of the course is to provide students with a critical look at the information they are exposed to every day. Skepticism, together with the tools of the scientific method, are essential to discern between true data, false data and manipulated information. These skills are necessary today in the world scenario of abundance of information, not always trustable. Introduction: What is bullshit? Concepts and categories of bullshit. The art, science, and moral imperative of calling bullshit. Brandolini's Bullshit Asymmetry Principle. Lecture 1: Spotting bullshit. Lecture 2: The natural ecology of bullshit. Lecture 3: Causality. Correlation is not causation. T Selection masked as transformation. Lecture 4: Statistical traps and trickery. Bayes rule and conditional probabilities. Base-rate fallacy/prosecutor's fallacy. Means versus medians. Importance of higher moments. Lecture 5: Data visualization. Lecture 6: Big data. When does any old algorithm work given enough data, and when is it garbage in, garbage out? Lecture 7: Publication bias. Lecture 8: Predatory publishing and scientific misconduct. Lecture 9: Fake news. Lecture 10: Refuting bullshit.

In presenza

Presentazione orale

P.D.2-2 - Maggio

-mercoledì 7 giugno 9:00-12:30 -giovedì 8 giugno 9:00-12:30 -venerdì 9 giugno 9:00-12:30. Aula Ferrari al secondo piano del DIMEAS ingresso di corso Einaudi.