PuertoVallarta 2023: Difference between revisions
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| 8:30-10:30 | | 8:30-10:30 | ||
! colspan="2" | Introduction | ! colspan="2" | Introduction | ||
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| 11:00-14:00 | | 11:00-14:00 | ||
! colspan="2" | Seismic Processing Exercise | ! colspan="2" | Seismic Processing Exercise | ||
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| 15:30-16:00 | | 15:30-16:00 | ||
! colspan="2" | Developing Programs | ! colspan="2" | Developing Programs | ||
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| 16:00-16:30 | | 16:00-16:30 | ||
! colspan="2" | Using Madagascar in Google Colab | ! colspan="2" | Using Madagascar in Google Colab | ||
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Latest revision as of 19:41, 13 November 2023
The objective of the workshop is to introduce beginners to the fundamentals of Madagascar, to showcase its capabilities for running reproducible computational experiments and publishing experimental results in papers and reports, and to guide participants through the essential steps of seismic processing steps.
Date[edit]
Friday, November 3, 2023
Location[edit]
The workshop will take place at the Sheraton Buganvilias Hotel in Puerto Vallarta, Mexico. Room yet to be defined.
Address
Blvd. Francisco Medina Ascencio No. 999,
Zona Hotelera Las Glorias C.P. 48333,
Puerto Vallarta, Jalisco, México
Agenda[edit]
| Friday, November 3, 2023 | ||
|---|---|---|
| 8:30-10:30 | Introduction | |
| 11:00-14:00 | Seismic Processing Exercise | |
| 15:30-16:00 | Developing Programs | |
| 16:00-16:30 | Using Madagascar in Google Colab | |
Registration[edit]
You can register to this workshop and other courses taking place at RAUGM 2023 by visiting the following website. Cost for students is $561.00 MXN. Cost for UGM members is $880.00 MXN. Costs for non-members is $1,518.00 MXN. Participants with valid UGM membership do not pay tax. Participants with no UGM membership pay 16% tax. To obtain/renew your UGM membership, please visit the membership webpage of the Unión Geofísica Mexicana.
Pre-workshop Assignment[edit]
While we will allocate time to assist attendees with the software installation, we highly encourage them to download the source repository using Git:
git clone https://github.com/ahay/src RSFSRC