La Serena School for Data Science: Applied Tools for Data-driven Sciences

[:en][fusion_text]We are BACK online for 2017!

The 2017 School will be held August 21-29
Applications will open March 1, and be due by Apr 30, 2017
Eligible students include advanced undergraduates and early graduate students
Registration is now OPEN!
Please check out the 2017 Registration page for more information.

The volume and complexity of astronomical data continues to grow as the current generation of surveys come online (PanSTARRS, Dark Energy Survey, VISTA). Astronomers will need to work with giga, tera and even petabytes of data in real time (LSST). This poses the challenges of developing and using new tools for data discovery, access, and analysis. At the same time, there are new opportunities for interdisciplinary research in applied mathematics, statistics, machine learning, crowd-sourcing, etc. Astronomy provides a sand-box where scientists can come together from diverse fields to address common challenges within the «Big Data» paradigm.

The LA SERENA SCHOOL FOR DATA SCIENCE: Applied Tools for Data-driven Sciences is an intensive week of interdisciplinary lectures focused on applied tools for handling big astronomical data. Participants will be instructed in how astronomical data are processed, accessed and analyzed, including reduction pipelines, databases, and scientific programming.  The School will be taught by an international and interdisciplinary group of professors who will use real data and examples.  Participants will work on team-based projects and be provided training and access to the National Laboratory for High Performance Computing located at the University of Chile’s Center for Mathematical Modeling.

Lecture topics include:
– Image analysis
– Databases
– Statistical tools applied to large data sets
– Machine Learning
– High Performance Computing
– Cloud Computing

The Schools take place annually in August on the AURA Observatory campus in La Serena, Chile.  Students from different disciplines are encouraged to participate, including (but not limited to) astronomy, computer science, statistics, and mathematics. There is a registration fee for participants, which covers room and board (except dinners) and travel to the school.  Thanks to the support of the U.S. NSF and CONICYT in Chile, scholarships will be available for most participants from the U.S. and Chile.  See the annual program page for more information.[/fusion_text][:es]We are BACK online for 2017!

The 2017 School will be held August 21-29
Applications will open March 1, and be due by Apr 30, 2017
Eligible students include advanced undergraduates and early graduate students
Registration is now OPEN!
Please check out the 2017 Registration page for more information.

The volume and complexity of astronomical data continues to grow as the current generation of surveys come online (PanSTARRS, Dark Energy Survey, VISTA). Astronomers will need to work with giga, tera and even petabytes of data in real time (LSST). This poses the challenges of developing and using new tools for data discovery, access, and analysis. At the same time, there are new opportunities for interdisciplinary research in applied mathematics, statistics, machine learning, crowd-sourcing, etc. Astronomy provides a sand-box where scientists can come together from diverse fields to address common challenges within the «Big Data» paradigm.

The LA SERENA SCHOOL FOR DATA SCIENCE: Applied Tools for Data-driven Sciences is an intensive week of interdisciplinary lectures focused on applied tools for handling big astronomical data. Participants will be instructed in how astronomical data are processed, accessed and analyzed, including reduction pipelines, databases, and scientific programming.  The School will be taught by an international and interdisciplinary group of professors who will use real data and examples.  Participants will work on team-based projects and be provided training and access to the National Laboratory for High Performance Computing located at the University of Chile’s Center for Mathematical Modeling.

Lecture topics include:
– Image analysis
– Databases
– Statistical tools applied to large data sets
– Machine Learning
– High Performance Computing
– Cloud Computing

The Schools take place annually in August on the AURA Observatory campus in La Serena, Chile.  Students from different disciplines are encouraged to participate, including (but not limited to) astronomy, computer science, statistics, and mathematics. There is a registration fee for participants, which covers room and board (except dinners) and travel to the school.  Thanks to the support of the U.S. NSF and CONICYT in Chile, scholarships will be available for most participants from the U.S. and Chile.  See the annual program page for more information.[:]

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