Remote Online Sessions for Emerging Seismologists (ROSES) 2020

Expert

Amidst many choices for on-learning, on-line networking, and on-line collaboration, the ROSES 2020 summer school will run once a week for 11 weeks, starting on June 25. The school is targeted towards advanced Ph.D. students, who have used Python before and are familiar navigating in Linux/Unix.

Lectures will be delivered on Tuesdays or Thursdays, at noon Eastern/9am Pacific. This course is offered by the American Geophysical Union Seismology Section.

Pre-requisites: Students are 

  1. Preferably in their 2nd, 3rd, or 4th year of graduate school,
  2. Familiar with unix or linux 
  3. Familiar with the Python3 programming language within a Conda environment
  4. Familiar with Jupyter notebooks
  5. To have a linux/unix environment available with a Conda Python3 environment installed on it
  6. Prepared to install additional Python packages in their conda environment as the course progresses.
  7. Prepared to read or view assigned materials in preparation of each lecture.

Summer School Topics and Instructors:

6/25 (Th)

1

ObsPy

Sydney Dybing

7/2 (Th)

2

Data and Metadata

Emily Wolin

7/9 (Th)

3

Time Series Analysis

German Prieto

7/14 (T)

4

Waveform Cross Correlation

Elizabeth Berg

7/21 (T)

5

Array Seismology/Network Analysis

Stephen Arrowsmith

7/28 (T)

6

Polarization Analysis

Tolulope Olugboji

8/4 (T)

7

Machine Learning

Zachary Ross

8/11 (T) 

8

PyGMT

Liam Toney

8/18 (T)

9

Inversion, Bayesian

Steve Myers

8/25 (T)

10

Optimal Interpolation

Tony Lowry

9/1 (T)

11

Gridding, Inversion

Suzan van der Lee

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