The LSSTC DSFP is made possible by the generous support of the LSST Corporation,
the Data Science Initiative (DSI) at Northwestern, and CIERA.
The LSSTC Data Science Fellowship program is a two year training program designed to teach skills required for LSST (Large Synoptic Survey Telescope) science that are not easily addressed by current astrophysics programs. The program consists of three, one-week schools per year over a two year period.
The LSSTC Data Science Fellowship Program is a supplement to graduate education in astronomy, intended to teach astronomy students essential skills for dealing with big data. You don't need to know anything about data science to apply, you just need to be excited to learn!
CURRICULUM AND CLASS FORMATTING
Here's a partial list of topics the LSSTC DSFP will cover: the basics of managing and building code, statistics, machine learning, scalable programming, data management, image processing, visualization, and communication. The DSFP curriculum is developed and distributed openly. Please see our Github repository for session materials.
- Software engineering: building code repositories; object oriented programming; version control/GitHub; issue tracking; unit tests; continuous integration.
- Statistics: regression; frequentist vs. Bayesian methods; Gaussian processes; generative models; hierarchical models; missing information and selection effects.
- Machine learning: unsupervised methods; including density estimation, anomaly detection, feature extraction, and clustering techniques; supervised methods; end-to-end automated classification models; deep neural networks.
- Scalable programming and data management: parallel programming; databases; software profiling; cloud computing.
- Time series analysis: understanding variable sources with incomplete and noisy sampling; measures of periodicity; Gaussian processes; the LSST alert stream.
- Image processing: noisy astronomical detectors; processing pipelines; position, flux, and shape measurements; hands-on experience with the LSST image processing software stack.
- Visualization and communication: visualization of large dimensional data sets; interactive visualization for exploration; visual hierarchies; the effective use of space, color, contrast, and textures.
- Science communication: understanding your audience; effective body language for communication; presentation design principles; using data to tell a story.
CODE OF CONDUCT
Thanks to the generosity of the LSSTC, we can provide support for students to attend. The level of support will depend to a certain extent on demand, but we anticipate that the program will be free or nearly free (including travel and lodging) for students.
FREQUENTLY ASKED QUESTIONS
Please view our FAQ for more information.
Don't see the answer to your question?
Dr. Adam Miller, Director of Program Development and Communications: amiller AT northwestern DOT edu
Dr. Lucianne Walkowicz, Director: LWalkowicz AT adlerplanetarium DOT org
Dr. Vicky Kalogera, Deputy Director: vicky AT northwestern DOT edu