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Lecture
SoSe 19: Inverse problems and machine learning for exploration geophysics / Inverse Probleme und maschinelles Lernen für die Exploration Geophysik
Ivan Abakumov
Information for students
StudO 2017 Modul MSc-GP012 "Spezielle Themen der Geophysik II" /StudO 2012 MSc Modul GP011: "Spezielle Themen der Geophysik" : V (2 SWS) + Ü (2 SWS) = 6 LP) /Modul D013: Spezielle Themen der Geophysik (STO 2009) close
Additional information / Pre-requisites
This course addresses students majoring in Geophysics or interested students from related disciplines like e.g. Physics, Geology, or Meteorology, who should bring basic mathematical and physical understanding. Prerequisites: basic knowledge of MATLAB programming. Please contact Dr. Abakumov in advance: abakumov@zedat.fu-berlin.de close
Comments
This course provides a broad introduction to inverse problems and machine learning and demonstrates application of these techniques to modern geophysical problems. Topics include: (i) Tomography (ii) Bayesian inversion (iii) Full waveform inversion (iv) Supervised and unsupervised machine learning. The goal of the course is to highlight similarities between these methods. The course will also draw from numerous case studies and applications, so that you'll also learn how to apply inversion and machine learning algorithms. Most of case studies will be performed at PCs. Modulprüfung: Bericht (ca. 4 000 Wörter) close
Suggested reading
Suggested reading
Schuster, G. T. (2017) Seismic inversion. Society of Exploration Geophysicists
Ng, A. (2018). Machine learning yearning. URL: http://www.mlyearning.org/
13 Class schedule
Regular appointments
Thu, 2019-04-25 11:30 - 13:00
Thu, 2019-05-02 11:30 - 13:00
Thu, 2019-05-09 11:30 - 13:00
Thu, 2019-05-16 11:30 - 13:00
Thu, 2019-05-23 11:30 - 13:00
Thu, 2019-06-06 11:30 - 13:00
Thu, 2019-06-13 11:30 - 13:00
Thu, 2019-06-20 11:30 - 13:00
Thu, 2019-06-27 11:30 - 13:00
Thu, 2019-07-04 11:30 - 13:00
Thu, 2019-07-11 11:30 - 13:00