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README.md

Session 1

The first session of the LSSTC DSFP program focuses on an introduction to the major topics to be covered in future weeks:

  • Data Science Basics
  • Image Processing
  • Statistics
  • Machine Learning
  • Time-series Analysis
  • Data Visualization
  • Databases, scalable programming, and data management

Schedule

Day 1 — Introduction to LSST/Fundamental Basics for Data Science

Monday, Aug 1, 2016

  • 09:00 AM - 09:15 AM — Welcome and (brief) introduction to DSFP; L. Walkowicz :octocat:
  • 09:15 AM - 10:00 AM — Speed meetup - everyone meets everyone, gets 1 min to describe research one on one
  • 10:00 AM - 10:30 AM — BREAK
  • 10:30 AM - 11:45 AM — Introduction to LSST; L. Walkowicz :octocat:
  • 11:45 AM - 12:00 PM — Goals of the DSFP; A. Miller :octocat:
  • 12:00 PM - 01:00 PM — LUNCH
  • 01:00 PM - 04:00 PM — Hands-on introduction to git; J. VanderPlas :octocat:
  • 04:00 PM - 04:30 PM — BREAK
  • 04:30 PM - 06:00 PM — Everything an Astronomer Needs to Know About Software Engineering; J. VanderPlas :octocat:

Day 2 — Introduction to Statistics/Intro to Image Processing

Tuesday, Aug 2, 2016

  • 09:00 AM - 10:00 AM — Introduction to statistics; M. Suveges
  • 10:00 AM - 10:30 AM — BREAK
  • 10:30 AM - 12:00 PM — Intro to Stats hands-on; M. Suveges
  • 12:00 PM - 01:00 PM — LUNCH
  • 01:00 PM - 02:00 PM — Introduction to advanced inference; J. VanderPlas :octocat:
  • 02:00 PM - 03:30 PM — Bayesian models break-out; J. VanderPlas :octocat:
  • 03:30 PM - 04:00 PM — BREAK
  • 04:00 PM - 05:00 PM — Introduction to image processing; R. Lupton :octocat:
  • 05:00 PM - 06:00 PM — Intro to image processing hands-on: part 1 & part 2; R. Lupton :octocat:

Day 3 — Introduction to Databases/Intro to Visualization

Wednesday, Aug 3, 2016

Day 4 — Introduction to Machine Learning/Hack Session

Thursday, Aug 4, 2016

Day 5 — Introduction to Time-Series/Science Communication

Friday, Aug 5, 2016

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