AstroData Hack Week

AstroData Hack Week is a week-long summer school / hack week / unconference focused on astrostatistics and data-intensive astronomy. The vision is to provide a space to encourage learning, research, collaboration, and sharing of expertise, for the benefit of both young and experienced astronomical researchers alike.

When	15 September 2014 10:30 AM to 19 September 2014 10:30 AM
Where	Seattle WA USA
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The mornings will be a typical summer school format, with lectures and exercises covering essential skills for working effectively with large astronomical datasets. The afternoons will be entirely unstructured, and offer opportunities for collaborative research, breakout sessions on special topics, and application of the concepts covered during the morning sessions.

Instructors include: Joshua Bloom, Zeljko Ivezic, David Hogg, Phil Marshall, Fernando Perez, Jake VanderPlas

Topics include:

Scientific computing with Python (IPython, NumPy, Matplotlib, SciPy)

Classical statistics and modeling (probabiity, maximum likelihood, goodness-of-fit, hypothesis testing, bootstrap)

Bayesian statistics and modeling (Bayes' theorem, priors, posteriors, marginalization, hypothesis testing, MCMC sampling)

Unsupervised machine learning & data mining (dimensionality reduction, clustering, density estimation)

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