Inizio del corso: 1. marzo 2022

Bayesian probability theory

Graz University of Technology

Bayes' team

Classificazione scientifica:

  • Matematica (101)
  • Scienze informatiche (102)
  • Fisica (103)

Inizio del corso: 1. marzo 2022

Bayesian probability theory

Graz University of Technology

Bayes' team

  • Durata: 9 unità
  • Impegno: 6 ore/unità
  • Inizio del corso: 1. marzo 2022
  • Fine del corso: -
  • Stato attuale: Corso in corso
  • Partecipanti attuali: 810
  • Licenza: CC BY 4.0
  • Lingue disponibili:
    • Deutsch ‎(de)‎
    • English ‎(en)‎
Tutti i corsi su iMooX sono e rimarranno gratuiti per tutti. Per saperne di più

Trailer

[BAYES] Trailer of the MOOC "Bayesian probability theory" | iMooX.at

  • 18636
  • 0m48s
  • 39
Content Thumbnail Image

Questo video è ospitato da YouTube; cliccandoci, i dati saranno inviati a YouTube. Si applica l'informativa sulla privacy di YouTube.

Avvia video

Dettagli del corso

Informazioni generali sul corso

Contenuti del corso

Obiettivi formativi

Prerequisiti

Procedimento del corso

Certificato



Licenza

This work by Wolfgang von der Linden is licenced under CC BY 4.0.

Contenuti aggiuntivi

 

 

Istruttore del corso

Bayes' team

Wolfgang von der Linden is a full professor and head of the institute of Theoretical and Computational Physics at TU Graz. His research focuses on strongly correlated many body physics and Bayesian probability theory which in 30 years led to more than 100 papers on this topic. He has collected his collective experience in the book "Bayesian probability theory: applications in the physical sciences." Cambridge University Press, 2014.


Project manager:


Gerhard Dorn is a project assistant at the Institute of Theoretical and Computational Physics and engaged in teaching for over ten years.
Besides his physics research in quantum transport he has a strong mathematical background and is enthusiastic about story telling in science communication.


Team Pixel Art:

Gihan El Moazen is a bioengineering student with a foible for pixel art and graphical design.


Annika Schnell is a physics and informatics student who is passionate about game development and pixel art.

Creative Story and content development team:


Tristan Feyer, a physics student, brings in his motivation for story development, writing dialogue and drafting sceneries.

Gloria Wolkerstorfer is finishing her master studies in theoretical physics with a focus on Bayesian probability and like Tristan, is part of the creative story and content development team.


Interactive simulation and voice acting:


Johanna Moser is a physics student who contributes to developing interative simulations and related stories.

Michael Sieberer is a PhD student in physics who helps realizing the solution for interactive simulations.


Margit Taibon-Lindheim, Christian Gruber, Florian Payerl and Jakob Hinum-Wagner are part of the voice acting team supported by our vocal coach Reinhard Hütter.


Animation and sound:

Stefan Janisch (LLT TU Graz) is the multimedia artist working on the postproduction and animation of the adventure movies.

Martin Haiden (LLT TU Graz) is the sound engineer responsible for sound recording and sound production.

Melvin Hodzic is a physics student engaging in the video editting and animation of the lesson videos.

Visiting professor - Galleon's figure of Bayesian probability theory 

John Skilling a former professor at University of Cambridge is one of the pioneers of Bayesian probability theory and contributes as the inventor of Nested Sampling to the unit on Bayesian simulation techniques - even as part of the voice acting team.

Partner

Sei pronto per imparare qualcosa di nuovo?