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ScuDo and Unite! Doctoral School | Advanced approaches to data elaboration in Industry 4.0
As part of the third-level educational offering of the Politecnico's Doctoral School (ScuDo), a course by invitation is offered by professor Agnieszka Wylomanska, full professor of Applied Mathematics at the University of Wroclaw, as well as Deputy Director of the University's Doctoral School and member of the Unite Doctoral School-UDS.
Entitled “Advanced approaches to data elaboration in Industry 4.0: Modern statistical and time series methods for signal analysis of industrial systems with impulsive behaviour”, the course is taught in English, corresponds to 2 CFU credits and will be held in the meeting room on the ground floor of the Department of Mechanical and Aerospace Engineering-DIMEAS of Politecnico, easily accessible from Corso Einaudi 40, according to the following schedule:
Ospite: Agnieszka Wylomanska
Agnieszka Wylomanska received her M.Sc. degree in Financial and Insurance Mathematics from the Institute of Mathematics and Computer Science at Wrocław University of Technology (Wrocław Tech) and a Ph.D. degree in Mathematics from Wrocław Tech in 2006. In 2015, she achieved a D.Sc. degree in mining and geology from the Faculty of Geoengineering, Mining, and Geology at Wrocław Tech. Currently, she holds the position of Professor at Wrocław Tech and is a member of the Hugo Steinhaus Center for Stochastic Processes. Her research interests include heavy-tailed distributed time series, stochastic modeling, and statistical analysis of real data, with a focus on data related to the mining industry, indoor air quality, and financial time series. She has authored over 200 research papers and collaborates with industrial companies such as KGHM and Nokia.
Dedicated to doctoral students but also staff members, to participate, please send an expression of interest to eugenio.brusa@polito.it by 3 June 2025, given that the maximum capacity of the classroom is 15 people.
Entitled “Advanced approaches to data elaboration in Industry 4.0: Modern statistical and time series methods for signal analysis of industrial systems with impulsive behaviour”, the course is taught in English, corresponds to 2 CFU credits and will be held in the meeting room on the ground floor of the Department of Mechanical and Aerospace Engineering-DIMEAS of Politecnico, easily accessible from Corso Einaudi 40, according to the following schedule:
- 10 June: from 9:30am to 11:30am
- 11 June: from 9:30am to 11:30 - from 2:30pm to 4:00pm
- 12 June: from 9:30am to 11:30am
- 13 June: from 9:30am to 11:30am (test included)
Ospite: Agnieszka Wylomanska
Agnieszka Wylomanska received her M.Sc. degree in Financial and Insurance Mathematics from the Institute of Mathematics and Computer Science at Wrocław University of Technology (Wrocław Tech) and a Ph.D. degree in Mathematics from Wrocław Tech in 2006. In 2015, she achieved a D.Sc. degree in mining and geology from the Faculty of Geoengineering, Mining, and Geology at Wrocław Tech. Currently, she holds the position of Professor at Wrocław Tech and is a member of the Hugo Steinhaus Center for Stochastic Processes. Her research interests include heavy-tailed distributed time series, stochastic modeling, and statistical analysis of real data, with a focus on data related to the mining industry, indoor air quality, and financial time series. She has authored over 200 research papers and collaborates with industrial companies such as KGHM and Nokia.
Dedicated to doctoral students but also staff members, to participate, please send an expression of interest to eugenio.brusa@polito.it by 3 June 2025, given that the maximum capacity of the classroom is 15 people.