July 31, 2013–August 7, 2013 | Moscow, Russia
Moscow, RussiaThe Microsoft School on Algorithms for Massive Data (ALMADA) will be held from July 31 to August 7, 2013, in Moscow, Russia. Organized by Microsoft Research in cooperation with Yandex and Lomonosov Moscow State University, the summer school provides a unique opportunity for students to learn about fundamental and state-of-the-art results on algorithms and systems for processing massive datasets. The school offers four courses on technical topics, and additional lectures will provide context for real-life applications and business opportunities. Students will experience an intellectually stimulating environment for learning and networking with each other and school lecturers.
- Registration deadline: February 22, 2013
- Application deadline: March 15, 2013
- Notification of acceptance: May 15, 2013
- School: July 31–August 7, 2013
- Sketching, Sampling, and Other Sublinear Algorithms
Alex Andoni, Microsoft Research, United States
- I/O Efficient Algorithms and Data Structures
Lars Arge, Aarhus University, Denmark
- Systems for Data-Intensive Parallel Computing
Mihai Budiu, Microsoft Research, United States
- Algorithms for Big Data: Graphs and Memory Errors
Giuseppe F. Italiano. University of Rome “Tor Vergata”, Italy
- Microsoft Research WorldWide Telescope: Great Tool for Astronomy Learning and Teaching, Great Big Data Application
Kamill Akhmetov (Microsoft Russia) and Sergey Berezin (Lomonosov Moscow State University)
- YT— Distributed Data Processing Revisited
Maxim Babenkо (Yandex and MGU)
- From Research to Business with Help of Skolkovo
Alexey Beltyukov (Skolkovo Foundation and INSEAD Business School)
- Cloud Technologies for Computational Sciences
Sergey Berezin (Lomonosov Moscow State University)
- Scaling Up Practical Learning Algorithms
Mikhail Bilenko (Microsoft Research)
- Researchers, Data, and Machines: the Next Generation of Scientific Exploration
Tony Hey (Microsoft Research)
- Problems and Algorithms in Analysis of Biological Sequences
Vsevolod Makeev (Vavilov Institute of General Genetics, Russian Academy of Sciences)
- Cloud Technologies: Trends and Use Models
Oleg Syutin (Microsoft Russia)
Please check back for updates.
- Who may apply: Advanced undergraduates, MS and PhD students, young scientists (35 or younger), and developers who are interested in massive data processing are encouraged to apply. The school is intended primarily for Russian residents, but students residing abroad who do not need a visa to enter Russia may apply (see FAQ).
- Language: English is the working language of the school, but some presentations will be in Russian; fluency in English is required and knowledge of Russian is strongly recommended.
- Prerequisites: Minimal necessary background includes an introductory algorithms class and basic programming skills.
- Expenses: Accepted students will pay no tuition, and the school will cover their accommodations on the Moscow State University campus, meals, and social program. The students are expected to pay for their travel to Moscow and back.
- Dates: Qualified candidates should register by February 22, 2013 and complete their applications by March 15, 2013. Acceptance decisions will be made around May 15, 2013.
- Application materials: A transcript, short CV, a term or research paper, and optional supporting material can be uploaded and updated any time until the application deadline of March 15, 2013.
- For more details: see the official event site FAQ (Russian) or send questions via email to email@example.com.
Summer School Website
Past Russian Summer Schools
If you have questions, please send email to firstname.lastname@example.org.