About The Summer School
The goal of the Summer School for Astrostatistics is to guide
advanced undergraduates, masters and graduate students, and early
postdocs in the use of the most common statistical tools for the
analysis of a wide variety of data.
Each session includes an introductory class followed by a
workshop (hands-on analysis of astronomical data), and poses
particular emphasis on the development of coding abilities which
will serve as a quick reference for everyday work.
The school is organized by the astrostatistics working group centered on the Department of Physics of the University of Crete.
The Department will provide the computational facilities required by the classes: the attendees do not need to use their personal computers. No previous experience with Python is required.
Department of Physics, University of Crete, Heraklion
Tuesday to Friday
18-21 June 2019
Registration closed on 26 April 2019
Intro to Python and Jupyter Notebook
Classical statistical distribution tests, hypothesis testing
Markov-Chain Monte Carlo
Machine learning classification
Machine learning regression
Machine learning clustering
Time series analysis
Please consult the School Schedule
Invited Speakers & Teaching Assistants
The school is hosted by the Department of Physics of the University of Crete, which will provide the computational facilities required by the classes.
The Department is about 8 km from the center of Heraklion.
There is a regular bus service from/to the city port (bus #20) or
or airport (bus #11) to the University (direction Panepistimio / PAGNH).
The municipality of Heraklion also provides an oline tool to keep
track of the timetable and location of the buses
(Iraklio Urban Buses),
which is also available as mobile app.
A detailed map and driving directions are available from the
Department of Physics
Heraklion airport is linked to the major European cities via Aegean Airlines, Olympic Air, easyJet, Ryanair, plus seasonal charter flights. Internal (Greece) flights are also provided by Ellinair and Sky Express. Daily ferry services from the Piraeus port in Athens are provided by Minoan Lines and Anek Lines. These ferries reach the port of Heraklion in the early morning, and leave from Heraklio in the late evening. This schedule gives the participants more than aboundant time to reach the School location in time for the first class, and to reach the port after the conclusion of the School.
June is considered touristic high season for Crete:
attendees are advised to book their accommodation well in advance.
To facilitate the search, in our subscription
we invite the participants to indicate whether they are prone to
share a room.
Ideal locations to seek for an accomodation would be: 1) the old city center within the enceinte of the Venetian walls, or 2) along the line of the city bus route #11 or #20.
A variety of accomodations are rentable in the form of rooms or private apartments. As of the beginning of April, several options below 50€/night are still available through the common search engines, e.g. Booking or AirBnB, but the ones located in the city center will probably be fully booked soon.
The hotels listed below provide an affordable accomodation in the city center. An additional list of hotels can be found on the visitor's page of the Department of Physics of the University of Crete.
Workshop Jupyter notebooks
All the Jupyter notebooks presented at the school are publicly available at our github repository
Follow the instructions in the README file to download the relevant data sets
Deep Learning material
The slides from the Deep Learning seminar can be accessed here
The Deep Learning notebook regarding Galaxy Morphology classification is implemented through the Kaggle kernels, and can be accessed here
Using the Kaggle kernels will require you to sign in with one of your social media accounts, or to create one Kaggle account — once this is setup, just load the Galaxy Morphology kernel by following these simple instructions
Check our gallery from the event