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 Летние школы по математике и информатике
Сообщение18.05.2014, 13:44 


09/05/12
167
Подскажите, пожалуйста,какие популярные летние программы(школы) в России и за рубежом,есть для математиков выпускников 4-го курса, поступающих в магистратуру. Есть ли смысл их посещать, или лучше заниматься дома?

 i  Тема изменена и сделана прикреплённой для анонсов. // maxal

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 Re: Летние программы по математике
Сообщение22.05.2014, 19:19 
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11/01/06
5126
Их много и по разным специальностям, областям. Вот, для примера, летняя (точнее осенняя) школа по аддитивной комбинаторике:
http://www-ma2.upc.edu/jrue/BlockCourse.html

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 Re: Летние программы по математике
Сообщение22.05.2014, 23:43 


09/05/12
167
Спасибо.Летние(июль-август) я искал,но практически нигде не нашел.

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 Re: Летние программы по математике
Сообщение31.05.2014, 00:12 


13/05/14
14
Такая же проблема. Много где искал, но все для школьников. Нашел только в эту в пределах нашей родины http://bogomolov-lab.ru/SHKOLA2014/

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 Re: Летние программы по математике
Сообщение31.05.2014, 00:32 
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11/01/06
5126
Вот школа по компьютерным наукам в Екатеринбурге (дедлайн завтра!):

Цитата:
Computer Science E-days (CSEDays)
Strings, Languages, Automata
Ekaterinburg, Russia, August 23 -- 25, 2014
http://www.csedays.ru/theory2014/about

LECTURERS

Mario Guarracino (High Perfomance Computing and Networking Institute, Italy)
How fast can you align biological strings?

Gregory Kucherov (University Paris-Est Marne-la-Vallee, France)
Full-text indexes for sequence data and their applications

Andreas Maletti (University of Stuttgart, Germany)
Applications of automata theory in parsing and machine translation

Narad Rampersad (University of Winnipeg, Canada)
Avoiding repetitions in words

ABOUT THE SCHOOL

The school will be held in Ekaterinburg, Russia on August 23 -- 25, 2014.
The topic of the school is "Strings, Languages, Automata". The program will
consist of 4 short lecture courses as well as student presentations and
poster sessions. Students are encouraged to submit not only published or
completed research, but also a short summary of work in progress or even a
concise review of a problem area. The primary goal of submitting a paper,
as we see it, is getting feedback from experts as well
as school lecturers and participants.

The school will be held immediately before the 18th International Conference
on Developments in Language Theory (DLT 2014, August 26-29):
http://dlt2014.sciencesconf.org/. Any participant of the school may attend
the talks of the DLT 2014 without paying the conference registration fee.

Application form: http://www.csedays.ru/theory2014/registration
Deadline: May 31, 2014


-- Fri May 30, 2014 16:44:07 --

Ну или вот - по диофантовым уравнениям:
Цитата:
---------- Forwarded message ----------
From: Ilker Inam <ilker.inam@gmail.com>
Date: Thu, Apr 17, 2014 at 8:56 AM
Subject: Workshop: "Introductory workshop on modular methods in Diophantine equations". Bilecik/Turkey 8-11 September 2014 (First announcement)


Dear Colleagues,

we are organizing a workshop entitled: "Introductory workshop on modular
methods in Diophantine equations" with invited speakers Mike A. Bennett
(British Columbia), Sander R. Dahmen (VU University Amsterdam) and Samir
Siksek (Warwick) on 8-11 September 2014 in Bilecik/Turkey.

The main objective of the workshop is to introduce this method to the
experienced mathematicians, young researchers, especially PhD students
starting from an elementary level. Beside talks of the invited speakers
which will be spread across the four days of the workshop, a certain number
of contributed talks is allocated for the participants.

Homepage is:

http://modular.bilecik.edu.tr/en/

All the best,

On behalf of the organizing committee,

Ilker Inam

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 Re: Летние программы по математике
Сообщение31.05.2014, 20:11 
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11/01/06
5126
Цитата:
2014 TARRAGONA INTERNATIONAL SUMMER SCHOOL ON TRENDS IN COMPUTING

SSTiC 2014

Tarragona, Spain

July 7-11, 2014

Organized by
Rovira i Virgili University

http://grammars.grlmc.com/sstic2014/

*********************************************************************

--- Early registration deadline: June 7 ---

*********************************************************************

AIM:

SSTiC 2014 is the second edition in a series started in 2013. For the
previous event, see http://grammars.grlmc.com/SSTiC2013/

SSTiC 2014 will be a research training event mainly addressed to PhD
students and PhD holders in the first steps of their academic career. It
intends to update them about the most recent developments in the diverse
branches of computer science and its neighbouring areas. To that purpose,
renowned scholars will lecture and will be available for interaction with
the audience.

SSTiC 2014 will cover the whole spectrum of computer science through 6
keynote lectures and 22 six-hour courses dealing with some of the most
lively topics in the field. The organizers share the idea that outstanding
speakers will really attract the brightest students.

ADDRESSED TO:

Graduate students from around the world. There are no formal pre-requisites
in terms of the academic degree the attendee must hold. However, since there
will be several levels among the courses, reference may be made to specific
knowledge background in the description of some of them.

SSTiC 2014 is also appropriate for more senior people who want to keep
themselves updated on developments in their own field or in other branches
of computer science. They will surely find it fruitful to listen and discuss
with scholars who are main references in computing nowadays.

REGIME:

In addition to keynotes, 3 parallel sessions will be held during the whole
event. Participants will be able to freely choose the courses they will be
willing to attend as well as to move from one to another.

VENUE:

SSTiC 2014 will take place in Tarragona, located 90 kms. to the south of
Barcelona. The venue will be:

Campus Catalunya
Universitat Rovira i Virgili
Av. Catalunya, 35
43002 Tarragona

KEYNOTE SPEAKERS:

Larry S. Davis (U Maryland, College Park), A Historical Perspective of
Computer Vision Models for Object Recognition and Scene Analysis

David S. Johnson (Columbia U, New York), Open and Closed Problems in
NP-Completeness

George Karypis (U Minnesota, Twin Cities), Top-N Recommender Systems:
Revisiting Item Neighborhood Methods

Steffen Staab (U Koblenz), Explicit and Implicit Semantics: Two Sides of One
Coin

Philip Wadler (U Edinburgh), You and Your Research and The Elements of Style

Ronald R. Yager (Iona C, New Rochelle), Social Modeling

COURSES AND PROFESSORS:

Divyakant Agrawal (Qatar Computing Research Institute, Doha), [intermediate]
Scalable Data Management in Enterprise and Cloud Computing Infrastructures

Pierre Baldi (U California, Irvine), [intermediate] Big Data Informatics
Challenges and Opportunities in the Life Sciences

Rajkumar Buyya (U Melbourne), [intermediate] Cloud Computing

John M. Carroll (Pennsylvania State U, University Park), [introductory]
Usability Engineering and Scenario-based Design

Kwang-Ting (Tim) Cheng (U California, Santa Barbara),
[introductory/intermediate] Smartphones: Hardware Platform, Software
Development, and Emerging Apps

Amr El Abbadi (U California, Santa Barbara), [introductory] The Distributed
Foundations of Data Management in the Cloud

Richard M. Fujimoto (Georgia Tech, Atlanta), [introductory] Parallel and
Distributed Simulation

Mark Guzdial (Georgia Tech, Atlanta), [introductory] Computing Education
Research: What We Know about Learning and Teaching Computer Science

David S. Johnson (Columbia U, New York), [introductory] The Traveling
Salesman Problem in Theory and Practice

George Karypis (U Minnesota, Twin Cities), [intermediate] Programming
Models/Frameworks for Parallel & Distributed Computing

Aggelos K. Katsaggelos (Northwestern U, Evanston), [intermediate]
Optimization Techniques for Sparse/Low-rank Recovery Problems in Image
Processing and Machine Learning

Arie E. Kaufman (U Stony Brook), [intermediate/advanced] Visualization

Carl Lagoze (U Michigan, Ann Arbor), [introductory] Curation of Big Data

Dinesh Manocha (U North Carolina, Chapel Hill), [introductory/intermediate]
Robot Motion Planning

Bijan Parsia (U Manchester), [introductory] The Empirical Mindset in
Computer Science

Charles E. Perkins (FutureWei Technologies, Santa Clara), [intermediate]
Beyond LTE: the Evolution of 4G Networks and the Need for Higher Performance
Handover System Designs

Robert Sargent (Syracuse U), [introductory] Validation of Models

Steffen Staab (U Koblenz), [intermediate] Programming the Semantic Web

Mike Thelwall (U Wolverhampton), [introductory] Sentiment Strength Detection
for Twitter and the Social Web

Jeffrey D. Ullman (Stanford U), [introductory] MapReduce Algorithms

Nitin Vaidya (U Illinois, Urbana-Champaign), [introductory/intermediate]
Distributed Consensus: Theory and Applications

Philip Wadler (U Edinburgh), [intermediate] Topics in Lambda Calculus and
Life

ORGANIZING COMMITTEE:

Adrian Horia Dediu (Tarragona)
Carlos Martín-Vide (Tarragona, chair)
Florentina Lilica Voicu (Tarragona)

REGISTRATION:

It has to be done at

http://grammars.grlmc.com/sstic2014/registration.php

The selection of up to 8 courses requested in the registration template is
only tentative and non-binding. For the sake of organization, it will be
helpful to have an approximation of the respective demand for each course.

Since the capacity of the venue is limited, registration requests will be
processed on a first come first served basis. The registration period will
be closed when the capacity of the venue will be complete. It is very
convenient to register prior to the event.

DEADLINES AND FEES:

As far as possible, participants are expected to attend for the whole (or
most of the) week (full-time). Fees are a flat rate allowing one to
participate to all courses. They vary depending on the registration
deadline:

Early registration: June 7, 2014 --- 470 Euro
Regular registration: July 5, 2014 --- 500 Euro
On-site registration: July 11, 2014 --- 530 Euro

ACCOMMODATION:

Information about accommodation is available on the website of the School.

CERTIFICATE:

Participants will be delivered a certificate of attendance.

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu@urv.cat

POSTAL ADDRESS:

SSTiC 2014
Lilica Voicu
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain

Phone: +34 977 559 543
Fax: +34 977 558 386

ACKNOWLEDGEMENTS:

Universitat Rovira i Virgili

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 Re: Летние программы по математике
Сообщение11.07.2014, 23:21 


09/05/12
167
Спасибо большое!

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 Re: Летние программы по математике и информатике
Сообщение13.07.2014, 17:41 
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11/01/06
5126
Цитата:
International Colloquium and Summer School on Algorithm Engineering
Karlsruhe / Bad Herrenalb, September 17-19, 2014.

Algorithms are the driving force behind most nontrivial computer applications. Algorithm Engineering bridges gaps between theory and practice in order to bring the power of sophisticated algorithm into real world applications.

As its concluding event, the DFG Priority Program 1307 "Algorithm Engineering" has invited renowned researchers from inside and outside the project to display the state of the art in algorithm engineering. The colloquium on September 17 features overview talks and may be of interest also to researchers outside algorithmics and from industry. The summer school on September 18-19 is primarily targeted at international PhD students in algorithm engineering.

PRELIMINARY PROGRAM OF THE COLLOQUIUM, September 17
---------------------------------------------------------------------------
- Lars Arge, Madalgo Aarhus U.
I/O-Efficient Algorithms for Big Terrain Data Analysis
- Martin Grötschel, Konrad-Zuse-Zentrum Berlin
Linear and Mixed Integer Optimization Solvers:

Theoretical, Practical, and Software Engineering Aspects
- Paolo Ferragina, U. Pisa
BiCriteria Data Compression
- Dorothea Wagner, KIT
Clustering Evolving Networks
- Renato Werneck, Microsoft Research
Building a Real-World Routing Engine

Further Talks:
- Stefan Edelkamp, U. Bremen
- Henning Meyerhenke, KIT
- Matthias Müller-Hannemann, U. Halle
- Knut Reinert, FU Berlin

LECTURES IN THE SUMMER SCHOOL
-------------------------------------------------------------
September 18:
- Martin Grötschel / Gerald Gamrath
Designing and Engineering the SCIP Optimization Suite
- Paolo Ferragina
Data compression: past, present, and a foresight

September 19:
- Dorothea Wagner / Henning Meyerhenke
Algorithmic Methods for Network Analysis
- Renato Werneck
Engineering Shortest Path Algorithms

ORGANIZATION
------------------------
Peter Sanders, Anja Blancani, Vitaly Osipov, KIT

Registration Deadline: August 15 2014.
Registration Fee for Colloquium: free
Registration Fee for Summer school: 120 Euro including rooms and meals
See http://www.algorithm-engineering.de/final-meeting for details.

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 Re: Летние школы по математике и информатике
Сообщение16.11.2014, 21:28 
Модератор
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11/01/06
5126
Цитата:
INTERNATIONAL WINTER SCHOOL ON BIG DATA

BigDat 2015

Tarragona, Spain

January 26-30, 2015

Organized by
Rovira i Virgili University

http://grammars.grlmc.com/bigdat2015/

*****************************************************

--- 6th registration deadline: November 23, 2014 ---

*****************************************************

AIM:

BigDat 2015 is a research training event for graduates and postgraduates in the first steps of their academic career. It aims at updating them about the most recent developments in the fast developing area of big data, which covers a large spectrum of current exciting research, development and innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

All big data subareas will be displayed, namely: foundations, infrastructure, management, search and mining, security and privacy, and applications. Main challenges of analytics, management and storage of big data will be identified through 4 keynote lectures and 23 six-hour courses, which will tackle the most lively and promising topics. The organizers believe outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.

ADDRESSED TO:

Graduate and postgraduates from around the world. There are no formal pre-requisites in terms of academic degrees. However, since there will be differences in the course levels, specific knowledge background may be
required for some of them.

BigDat 2015 is also appropriate for more senior people who want to keep themselves updated on recent developments and future trends. They will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.

REGIME:

In addition to keynotes, 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they will be willing to attend as well as to move from one to another.

VENUE:

BigDat 2015 will take place in Tarragona, located 90 kms. to the south of Barcelona. The venue will be:

Campus Catalunya
Universitat Rovira i Virgili
Av. Catalunya, 35
43002 Tarragona

KEYNOTE SPEAKERS:

Ian Foster (Argonne National Laboratory), Taming Big Data: Accelerating Discovery via Outsourcing and Automation

Geoffrey C. Fox (Indiana University, Bloomington), Mapping Big Data Applications to Clouds and HPC

C. Lee Giles (Pennsylvania State University, University Park), Scholarly Big Data: Information Extraction and Data Mining

William D. Gropp (University of Illinois, Urbana-Champaign), tba

COURSES AND PROFESSORS:

Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data Analytics

Diego Calvanese (Free University of Bozen-Bolzano), [introductory/intermediate] End-User Access to Big Data Using Ontologies

Jiannong Cao (Hong Kong Polytechnic University), [introductory/intermediate] Programming with Big Data

Edward Y. Chang (HTC Corporation, New Taipei City), [introductory/advanced] Big Data Analytics: Architectures, Algorithms, and Applications

Ernesto Damiani (University of Milan), [introductory/intermediate] Process Discovery and Predictive Decision Making from Big Data Sets and Streams

Gautam Das (University of Texas, Arlington), [intermediate/advanced] Mining Deep Web Repositories

Maarten de Rijke (University of Amsterdam), tba

Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] Using Software Defined Systems to Address Big Data Problems

Minos Garofalakis (Technical University of Crete, Chania) [intermediate/advanced], Querying Continuous Data Streams

Vasant G. Honavar (Pennsylvania State University, University Park) [introductory/intermediate], Learning Predictive Models from Big Data

Mounia Lalmas (Yahoo! Research Labs, London), [introductory] Measuring User Engagement

Tao Li (Florida International University, Miami), [introductory/intermediate] Data Mining Techniques to Understand Textual Data

Kwan-Liu Ma (University of California, Davis), [intermediate] Big Data Visualization

Christoph Meinel (Hasso Plattner Institute, Potsdam), [introductory/intermediate] New Computing Power by In-Memory and Multicore to Tackle Big Data

Manish Parashar (Rutgers University, Piscataway), [intermediate] Big Data Challenges in Simulation-based Science

Srinivasan Parthasarathy (Ohio State University, Columbus), [intermediate] Scalable Data Analysis

Evaggelia Pitoura (University of Ioannina), [introductory/intermediate] Online Social Networks

Vijay V. Raghavan (University of Louisiana, Lafayette), [introductory/intermediate] Visual Analytics of Time-evolving Large-scale Graphs

Pierangela Samarati (University of Milan), [intermediate], Data Security and Privacy in the Cloud

Peter Sanders (Karlsruhe Institute of Technology), [introductory/intermediate] Algorithm Engineering for Large Data Sets

Johan Suykens (KU Leuven), [introductory/intermediate] Fixed-size Kernel Models for Big Data

Domenico Talia (University of Calabria, Rende), [intermediate] Scalable Data Mining on Parallel, Distributed and Cloud Computing Systems

Jieping Ye (Arizona State University, Tempe), [introductory/advanced] Large-Scale Sparse Learning and Low Rank Modeling

ORGANIZING COMMITTEE:

Adrian Horia Dediu (Tarragona)
Carlos Martín-Vide (Tarragona, chair)
Florentina Lilica Voicu (Tarragona)

REGISTRATION:

It has to be done at

http://grammars.grlmc.com/bigdat2015/registration.php

The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event.

FEES:

As far as possible, participants are expected to stay full-time. Fees are a flat rate covering the attendance to all courses during the week. There are several early registration deadlines. Fees depend on the registration deadline.

ACCOMMODATION:

Suggestions of accommodation are available on the webpage.

CERTIFICATE:

Participants will be delivered a certificate of attendance.

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu@urv.cat

POSTAL ADDRESS:

BigDat 2015
Lilica Voicu
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain

Phone: +34 977 559 543
Fax: +34 977 558 386

ACKNOWLEDGEMENTS:

Universitat Rovira i Virgili

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 Re: Летние школы по математике и информатике
Сообщение08.12.2014, 09:25 
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11/01/06
5126
Цитата:
INTERNATIONAL SUMMER SCHOOL ON INFORMATION SECURITY

InfoSec 2015

Tarragona, Spain

July 6-10, 2015

Organized by
Rovira i Virgili University

http://grammars.grlmc.com/InfoSec2015/

**********************************************************************

--- Early registration deadline: January 3, 2015 ---

**********************************************************************

AIM:

InfoSec 2015 will be a major research training event addressed to graduates and postgraduates in the first steps of their academic career. With a global scope, it aims at updating them about the most recent advances in the critical and fast developing area of information security, which covers a large spectrum of current exciting academic research and industrial innovation. It refers to procedures to defend information from unauthorized access, use, modification, recording or destruction, with a critical role to play in order to avoid or minimize risks in the digital world. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most information security subareas will be displayed, namely: computer security, cryptography, privacy, cyber security, mobile security, network security, world wide web security, fraud prevention, data protection, etc. Main challenges of information security will be identified through 5 keynote lectures and 24 six-hour courses, which will tackle the most active and promising topics. The organizers believe outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.

ADDRESSED TO:

Graduates and postgraduates from around the world. There are no formal pre-requisites in terms of academic degrees. However, since there will be differences in the course levels, specific background knowledge may be required for some of them.

InfoSec 2015 is also appropriate for more senior people who want to keep themselves updated on recent developments and future trends. They will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.

REGIME:

In addition to keynotes, 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they will be willing to attend as well as to move from one to another.

VENUE:

InfoSec 2015 will take place in Tarragona, located 90 kms. to the south of Barcelona. The venue will be:

Campus Catalunya
Universitat Rovira i Virgili
Av. Catalunya, 35
43002 Tarragona

KEYNOTE SPEAKERS (to be completed):

Jennifer Seberry (University of Wollongong), The Global Village: the Beginning of the Need for Computer Security [via videoconference]

PROFESSORS AND COURSES (to be completed):

N. Asokan (Aalto University), [intermediate] Mobile Security: Overview of Hardware Platform Security and Considerations of Usability

Jan Camenisch (IBM Research, Zurich), [introductory/intermediate] Privacy in a Digital World

Hao Chen (University of California, Davis), [intermediate/advanced] Security of the Mobile App Ecosystem

Joan Daemen (ST Microelectronics Belgium, Diegem), [introductory/intermediate] Sponge Functions, Keccak and SHA-3

Sajal K. Das (Missouri University of Science and Technology, Rolla), [intermediate/advanced] Securing Cyber-Physical Systems: Challenges and Opportunities

David Evans (University of Virginia, Charlottesville), [introductory/intermediate] Secure Multiparty Computation: Techniques, Theory, and Tools for Building Privacy-Preserving Applications

Markus Jakobsson (Qualcomm, Santa Clara), [introductory/intermediate] Frontiers in Fraud Prevention

Somesh Jha (University of Wisconsin, Madison), [intermediate/advanced] Analysis Techniques in Information Security

Songwu Lu (University of California, Los Angeles), [introductory/intermediate] Cellular Network Security: Issues and Defenses

Catherine Meadows (Naval Research Laboratory, Washington DC), [introductory/intermediate] Formal Analysis of Cryptographic Protocols

Nasir Memon (New York University), [introductory/intermediate] User Authentication

Stefano Paraboschi (University of Bergamo), [introductory/intermediate] Data Protection in Network-enabled Systems

Bart Preneel (KU Leuven), [introductory/intermediate] Cryptology: State of the Art and Research Challenges

Jean-Jacques Quisquater (Catholic University of Louvain), [introductory/intermediate] The History of RSA: from Babylon to Smart Cards

Stefan Saroiu (Microsoft Research, Redmond), [advanced] Dealing with Loss: Protecting Data on a Lost Mobile Device

Milind Tambe (University of Southern California, Los Angeles), [introductory/intermediate] Introduction to the Emerging Science of Security Games

Gene Tsudik (University of California, Irvine), [intermediate/advanced] Security and Privacy in Candidate Future Internet Architectures

Yang Xiao (University of Alabama, Tuscaloosa), [introductory/advanced] Security in Smart Grids

Wenyuan Xu (University of South Carolina, Columbia), [intermediate] Security and Privacy Analysis of Embedded Systems

Yuliang Zheng (University of North Carolina, Charlotte), [introductory] Cryptography and the Future of Money

ORGANIZING COMMITTEE:

Adrian Horia Dediu (Tarragona)
Carlos Martín-Vide (Tarragona, chair)
Florentina Lilica Voicu (Tarragona)

REGISTRATION:

The registration form can be found at:

http://grammars.grlmc.com/InfoSec2015/registration.php

The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event.

FEES:

Fees are a flat rate covering the attendance to all courses during the week. There are several early registration deadlines. Fees depend on the registration deadline.

ACCOMMODATION:

Suggestions of accommodation will be provided in due time.

CERTIFICATE:

Participants will be delivered a certificate of attendance.

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu@urv.cat

POSTAL ADDRESS:

InfoSec 2015
Lilica Voicu
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain

Phone: +34 977 559 543
Fax: +34 977 558 386

ACKNOWLEDGEMENTS:

Universitat Rovira i Virgili

 Профиль  
                  
 
 Re: Летние школы по математике и информатике
Сообщение09.12.2014, 04:39 
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11/01/06
5126
Цитата:
Applied combinatorics graduate summer school
University of Saskatchewan, May 18 - 29, 2015.

http://math.usask.ca/~appliedcomb/

What is it?
The applied combinatorics graduate summer school is a two week program for Canadian and international students. It is a part of the PIMS applied combinatorics collaborative research group. The core of the program is four minicourses on different applications of combinatorics in the sciences. There will also be exploration sessions and open problems. The goal of the program is to give students state of the art knowledge of combinatorial techniques and combinatorial problems in physics, chemistry and biology. Application Information.

Funding
Accepted external students will receive housing and partial travel assistance.

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 Re: Летние школы по математике и информатике
Сообщение09.12.2014, 09:02 


06/12/14

154
Вроде бы в Дубне регулярно действует летняя математическая школа и преподаватели высокого класса: http://www.mccme.ru/dubna/

-- 09.12.2014, 10:40 --

Также в Ярославле проводятся занятия в летней школе для студентов и аспирантов: http://ag.hse.ru/stud-ag3

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 Re: Летние школы по математике и информатике
Сообщение07.01.2015, 12:13 
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11/01/06
5126
Цитата:
Computational Dynamic Analysis of Biological Processes
http://lipari.cs.unict.it/LipariSchool/Bio
July 19 - July 25, 2015
Lipari Island, Italy

Aim and scope:
Computational Dynamic Analysis of Biological Processes is one of the most challenging research areas in modern life science. Topics such as Disease Dynamics, Drug Resistance, Immune System Analysis, Emerging Mutations, Microbiome Analysis, and Biological Networks Evolution involve intriguing and still unsolved problems. On the other hand, the availability of Next Generation Sequencing and other High-throughput techniques provide a strong support for scientists working in this field. Our main and special guest lectures will address the scope focusing on algorithms, computational models, biomedical and biotechnological results on this field. From the enclosed bibliography, it appears that the selected themes have received much attention in the scholarly literature ranging from Nature and Science to Bioinformatics Journals.
Speakers

Peer Bork
Network Dynamics
European Molecular Biology Laboratory (EMBL), Heidelberg, GERMANY

Carlos Bustamante
Genomics of Plant Biology
Stanford University, California, USA

Jeff Gore
Evolutionary Game-Theoretic Models
MIT, Massachussets, USA

Stephen Quake
NGS and Cancer Dynamics
Stanford University, California, USA

Guest speakers

Eric Jonasch
Molecular Determinants of Renal Cell Carcinoma Ontogeny and Progression
MD Anderson Cancer Center,Houston,Texas,USA

Michael Levitt
Stanford University, California, USA


Participants will be arranged in a comfortable hotel at very special rates. The conference room (in the same hotel) is air-conditioned and equipped with all conference materials. Special areas are reserved to students for the afternoon coursework and study. The island of Lipari can be easily reached from Milazzo, Palermo, Naples, Messina and Reggio Calabria by ferry or hydrofoil (50 minutes from Milazzo).

Two kinds of participants are welcome. Students: Participants who are expected to do afternoon courseworks and take a final exam (The grades will be given following the ECTS grading scale). The course will involve a total of 24 hours of teaching. According to our university rules passing the final exam gives right to an equivalent of 6 ECTS credits in any Ph.D. program. Auditors: participants who are not interested in taking the final exam.
Registration fee is 470 Euros. The fee covers the course material, bus+hydrofoil Catania airport-Lipari-Catania airport, social event. Late registration is 570 Euros.


Applications can be submitted from November 1, 2014 up to May 29, 2015. Late registrations will be accepted until July 14th. Admission notification will start on March 2nd, according to registration time. Applicants must include a short curriculum vitae.

The official language is English.
School Directors

Prof. Alfredo Ferro (University of Catania)
Prof. Raffaele Giancarlo (University of Palermo)
Prof. Concettina Guerra (Georgia Institute of Technology)
Prof. Michael Levitt (Stanford University)

Dr. Rosalba Giugno (co-director, University of Catania)
Prof. Alfredo Pulvirenti (co-director, University of Catania)

People interested in receiving further information about the school can contact:

Lipari School Organization
Prof. Alfredo Ferro -- Lipari School secretary
Universita' degli Studi di Catania - Dipartimento di Matematica e Informatica
Citta' Universitaria - Viale A.Doria, 6 - 95125 Catania - ITALY
Tel: +39 095 7383071
Fax: +39 095 7337032 / +39 095 330094
E-mail:liparischool@dmi.unict.it

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 Re: Летние школы по математике и информатике
Сообщение10.11.2015, 19:19 
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11/01/06
5126
UPD. По просьбам трудящихся стоимость регистрации по датам (с сайта школы):
Registration deadlines and fees
Paid until Full [Euro]
...
November 15, 2015 400
December 12, 2015 430
January 8, 2016 460
February 5, 2016 490
February 12, 2016 520


Цитата:
2nd INTERNATIONAL WINTER SCHOOL ON BIG DATA

BigDat 2016
Bilbao, Spain
February 8-12, 2016

Organized by:
DeustoTech, University of Deusto
Rovira i VirgiliUniversity

http://grammars.grlmc.com/bigdat2016/

********************************************************
--- Early registration deadline: November 15, 2015 ---
********************************************************

AIM:

BigDat 2016 will be a research training event addressed to graduates and postgraduates in the first steps of their academic career. With a global scope, it aims at updating them about the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most big data subareas will be displayed, namely: foundations, infrastructure, management, search and mining, security and privacy, and applications. Main challenges of analytics, management and storage of big data will be identified through 4 keynote lectures, 20 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes.

ADDRESSED TO:

Graduates and postgraduates from around the world. There are no formal pre-requisites in terms of academic degrees. However, since there will be differences in the course levels, specific knowledge background may be assumed for some of them. BigDat 2016 is also appropriate for more senior people who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.

REGIME:

In addition to keynotes, 2-3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they will be willing to attend as well as to move from one to another.

VENUE:

BigDat 2016 will take place in Bilbao, the capital of the Basque Country region, famous for its gastronomy and the seat of the GuggenheimMuseum. The venue will be:

DeustoTech, School of Engineering
University of Deusto
Avda. Universidades, 24
48014 Bilbao

KEYNOTE SPEAKERS:

Nektarios Benekos (European Organization for Nuclear Research), Role of Computing and Software in Particle Physics
Chih-Jen Lin (NationalTaiwanUniversity), When and When Not to Use Distributed Machine Learning
Jeffrey Ullman (StanfordUniversity), Theory of MapReduce Algorithms
Alexandre Vaniachine (Argonne National Laboratory), Big Data Technologies and Data Science Methods in the Higgs Boson Discovery

PROFESSORS AND COURSES:

Nektarios Benekos (European Organization for Nuclear Research), [introductory/intermediate] Exploring the Mysteries of our Cosmos: the Big Deal between Big Data and Big Science
Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data Analytics
Edward Y. Chang (HTC Health, Taipei), [introductory/intermediate] Big Data Analytics for Healthcare: Scalable Algorithms and Applications
Nello Cristianini (University of Bristol), [introductory] THINKBIG: Towards Large Scale Computational Social Sciences, History and Digital Humanities
Ernesto Damiani (University of Milan), [introductory/intermediate] Architectures, Models and Tools for Big-Data-as-a-Service
Francisco Herrera (University of Granada), [introductory] Big Data Preprocessing
George Karypis (University of Minnesota), [intermediate/advanced] Scaling Up Recommender Systems
Chih-Jen Lin (NationalTaiwanUniversity), [introductory/intermediate] Large-scale Linear Classification
Geoff McLachlan (University of Queensland), [intermediate/advanced] Big Data Extensions of Some Methods of Classification and Clustering
Wladek Minor (University of Virginia), [introductory/intermediate] Big Data and Structural Biology and Chemistry
Raymond Ng (University of British Columbia), [introductory/intermediate] Mining and Summarizing Text Conversations
Sankar K. Pal (Indian Statistical Institute), [introductory/advanced] Machine Intelligence and Granular Mining: Relevance to Big Data
Erhard Rahm (University of Leipzig), [introductory/intermediate] Scalable and Privacy-preserving Data Integration
Hanan Samet (University of Maryland), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial Databases, Geographic Information Systems (GIS), and Location-based Services
Jaideep Srivastava (Qatar Computing Research Institute), [intermediate] Social Computing: Computing as an Integral Tool to Understanding Human Behavior and Solving Problems of Social Relevance
Jeffrey Ullman (StanfordUniversity), [introductory] Big Data Algorithms that Aren't Machine Learning
Alexandre Vaniachine (Argonne National Laboratory), [introductory/advanced] Big Data: Comparison with Computational Models
Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Big Data Analytics for Social Networks
Fuli Yu (Baylor College of Medicine), [introductory/intermediate] Overview of Large-scale Genomics and Variant Analysis
Mohammed J. Zaki (Rensselaer Polytechnic Institute), [introductory/intermediate] Large Scale Graph Analytics and Mining

OPEN SESSION

An open session will collect 5-minute presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to adrian.dediu (at) urv.cat by February 5, 2016.

ORGANIZING COMMITTEE:

Adrian Horia Dediu
Carlos Martín-Vide (co-chair)
Iker Pastor López (co-chair)
Borja Sanz (co-chair)
Florentina Lilica Voicu


REGISTRATION:

It has to be done at http://grammars.grlmc.com/bigdat2016/registration.php

The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event.

FEES:

Participants are expected to attend full-time. Fees are a flat rate allowing the attendance to all courses during the week. There are several early registration deadlines. Fees depend on the registration deadline.

ACCOMMODATION:

Suggestions of accommodation are available on the webpage.

CERTIFICATE:

Participants will be delivered a certificate of attendance.

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu (at) urv.cat

ACKNOWLEDGEMENTS:

University of Deusto
Rovira i VirgiliUniversity

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 Re: Летние школы по математике и информатике
Сообщение27.03.2016, 16:26 
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23/11/06
3850
http://math.nsc.ru/LBRT/v1/school2016/
Цитата:
Summer School in Advanced Probability
Novosibirsk State University, Sobolev Institute of Mathematics
August 18-21, 2016, Novosibirsk, Russian Federation

The School is associated with the VIth Conference "Modern Problems in Theoretical and Applied Probability". Its aim is to facilitate communication among participants, and to provide an in-depth introduction to the field of probability theory. The School is intended for undergraduate and PhD students interested in probability theory, statistics, and applications of these techniques.

The School's working language is English.

Invited speakers

Peter Mörters, Professor of Probability (University of Bath, United Kingdom)
Marc Lelarge, Head of Research group (INRIA, Paris, France)

Scientific programme
All participants are encouraged to make a poster presentation about their research work during the evening scientific session of the School.

Courses
Branching Processes with Reinforcement

Lecturer: Prof. Peter Morters, University of Bath, UK
In this minicourse we look at a class of stochastic processes with reinforcement, which includes urn models, preferential attachment networks with fitness, and genetic house-of-cards models. These processes can be described in terms of a class of general branching processes, often called Crump-Mode-Jagers processes. In the first part of the course I will explain the classical convergence theory of these processes under the assumption of existence of a Malthusian parameter. We will explore when this assumption is satisfied in our examples. In the second part I will present recent research (joint with Steffen Dereich and Cecile Mailler) exploring the interesting phenomena that may occur if this assumption fails.

Statistical Mechanics, Graphical Models And Message Passing Algorithms

Lecturer: Dr. Marc Lelarge, INRIA, Paris, France
Many problems of interest in computer science, information theory and statistics can be phrased in terms of a probability distribution over discrete variables associated to the vertices of a large graph. In recent years, considerable progress has been achieved by viewing these distributions as Gibbs measures and applying to their study heuristic tools from statistical physics. In this course, we will review this approach and provide some results towards a rigorous treatment of these problems.

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