Agenda

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Eventi in corso o in programma

15 FEBRUARY 2022

Information Literacy Part II

MS Teams - Online event

Valutazione della ricerca, data base citazionali, indicatori e dati bibliometrici, metriche alternative (altmetrics), gestione dell'identità.

09 FEBRUARY 2022

Information Literacy Part I

MS Teams - Online event

Strumenti avanzati per la ricerca bibliografica, risorse disciplinari di riferimento, risorse trasversali.

17 DECEMBER 2021

Data-driven methods in engineering - Part V

MS Teams - Online event

Deep-learning applications and developments. Prof. Ricardo Vinuesa - KTH Engineering Mechanics, Stockholm

13 DECEMBER 2021

Data-driven methods in engineering - Part IV

MS Teams - Online event

Implementation of modal decompositions. Prof. Ricardo Vinuesa - KTH Engineering Mechanics, Stockholm

06 DECEMBER 2021

Data-driven methods in engineering - Part III

MS Teams - Online event

Robust principal component analysis and dynamic-mode decomposition (DMD). Prof. Ricardo Vinuesa - KTH Engineering Mechanics, Stockholm

03 DECEMBER 2021

Data-driven methods in engineering - Part II

MS Teams - Online event

Compressed sensing, optimal sensor placement. Prof. Ricardo Vinuesa - KTH Engineering Mechanics, Stockholm

29 NOVEMBER 2021

Data-driven methods in engineering - Part I

MS Teams - Online event

Introduction. The singular-value decomposition. Prof. Ricardo Vinuesa - KTH Engineering Mechanics, Stockholm

25 MAY 2021

Beyond the PhD experience

MS Teams

Module IV Startup basics

04 MAY 2021

Perturbation methods in mechanics - Part IV

MS Teams

Antonio Segalini FLOW, KTH Royal Institute of Technology, Stockholm Uppsala University

03 MAY 2021

Perturbation methods in mechanics - Part III

MS Teams

Antonio Segalini FLOW, KTH Royal Institute of Technology, Stockholm Uppsala University

29 APRIL 2021

Perturbation methods in mechanics - Part II

MS Teams

Antonio Segalini FLOW, KTH Royal Institute of Technology, Stockholm Uppsala University

28 APRIL 2021

Perturbation methods in mechanics - Part I

MS Teams

Antonio Segalini FLOW, KTH Royal Institute of Technology, Stockholm Uppsala University