Day 1: Get connected to the data stream

Time Topic Instructor(s)
8:30 - 9:30 Overview of CAHW, Cabled Array and OOI data Rob Fatland,
Deb Kelley,
Mike Vardaro
Introductions
9:30 - 11:00 Data Science Tools: Git, Conda, Jupyter Notebook Amanda Tan,
Valentina Staneva
11:00 - 11:30 Coffee break
11:30 - 12:30
  • Finding OOI Data
  • Machine-to-machine (M2M) Data Access
    • Link to repo    		 Friedrich Knuth
    12:30 - 13:00 Lunch
    13:00 - 15:00
  • M2M Real-time Plotting
  • Data Wrangling: Xarray, Pandas
  • Data Visualization: Matplotlib, Bokeh
    • Link to repo    		 Friedrich Knuth
    15:00 - 15:30 Coffee Break
    15:30 - 16:00 Short demo of Cabled Array data processing I
    (seismic, sonar)    		 Christian Baillard,
    Wu-Jung Lee
    16:00 - 17:30 Project idea pitch and discussion
    17:30 - 18:00 Evening break
    18:00 - Dinner @Agua Verde

    Day 2: Play with it

    Time Topic Instructor(s)
    9:15 - 10:15 Data Visualization: overview of choices Jake VanderPlas
    10:15 - 10:30 Coffee break
    10:30 - 11:00 Project group discussion
    11:00 - 12:30 Hacking
    12:30 - 13:30 Lunch
    13:30 - 14:30 Data Mining Valentina Staneva
    14:30 - 15:00 Short demo of Cabled Array data processing II
    (hydrophone, camHD)    		 Mike Harrington,
    Tim Crone
    15:00 - 15:30 Coffee Break
    15:30 - 17:00 More Hacking
    17:00 - Optional Hacking - Space Provided

    Day 3: Create something cool!

    Time Topic Instructor(s)
    9:00 - 10:00 Cloud Computing Amanda Tan, Rob Fatland
    10:00 - 10:15 Coffee break
    10:15 - 11:15 Integrated Analysis of Data from Automated Instruments. A case study in re-purposing modern devops tools for realtime science Vaughn Iverson
    11:15 - 12:30 Hacking
    12:30 - 13:30 Lunch
    13:30 - 15:30 More Hacking
    15:30 - 17:00 Project Presentations
  • Hydrophone
  • External Resources
  • Python API to OOI M2M RESTful Web Services
  • Shallow water profiler
  • Synoptic & Ecology
    		•