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<div>FYI:</div>
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<blockquote type="cite" cite><font face="Helvetica" size="+2"><b>New
England Complex Systems Institute</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica"
size="+3"><b>Summer School on Complex Systems</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica">We are pleased to
announce the dates of our upcoming courses on complex
systems.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">Note: The
International Conference on Complex Systems (ICCS) immediately follows
the summer school June 26-July 1.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">June 13-17, 2011 /
Complex Physical, Biological & Social Systems<br>
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19, 2011 / Computer Programming and Complex Systems<br>
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20-24, 2011 / Complex Systems Modeling and Networks</font><br>
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size="+1"><b>Target Audience</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica">These courses are
intended for faculty, graduate students, post- doctoral fellows,
professionals and others who would like to gain an understanding of
the fundamentals of complex systems, and develop methodological tools
for conducting research in their respective fields, or as a basis for
pursuing complex systems research.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">The summer school
offers two intensive week-long courses. The courses consist of
lectures, discussions, and supervised group projects. Though the
second week builds on material covered in the previous week, CX201 is
not a prerequisite for CX202. You may register for either or both
weeks. If desired, arrangements for credit at a home institution may
be made in advance.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">See course
descriptions below or online at:<br>
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<blockquote type="cite" cite><font face="Helvetica"><b>WEEK
ONE</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica"
size="+1"><b>CX201: Complex Physical, Biological and Social
Systems</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica">Dates: June 13-17,
2011 | Location: MIT, Cambridge, MA</font><br>
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<blockquote type="cite" cite><font face="Helvetica">This course offers
an introduction to the essential concepts of complex systems and
related mathematical methods and simulation strategies with
application to physical, biological and social systems. The course
will particularly focus on the use of multiscale representations as a
unifying approach to complex systems concepts, methods and
applications.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">Concepts to be
discussed include: emergence, complexity, networks, self-organization,
pattern formation, evolution, adaptation, fractals, chaos,
cooperation, competition, attractors, interdependence, scaling,
dynamic response, information, and function.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">Methods to be
discussed include: statistical methods, cellular automata, agent-based
modeling, pattern recognition, system representation and
informatics.</font><br>
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<blockquote type="cite" cite><font face="Helvetica"
size="+1"><b>CX102: Computer Programming and Complex
Systems</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica">Date: June 19,
2011 | Location: MIT, Cambridge, MA</font><br>
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<blockquote type="cite" cite><font face="Helvetica">This course
introduces computer programming in the Python language for those with
little or no computer programming experience. It is designed as a
precursor to CX202.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">The course will
present programming concepts and hands-on exercises. Topics to be
covered include: data structures, algorithms, variables and
assignments, numerical and logical operations, lists and dictionaries,
user-defined functions, flow control, loops, and
visualization.</font><br>
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<blockquote type="cite" cite><font face="Helvetica"><b>WEEK
TWO</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica"
size="+1"><b>CX202: Complex Systems Modeling and
Networks</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica">Dates: June 20-24,
2011 | Location: MIT, Cambridge, MA</font><br>
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<blockquote type="cite" cite><font face="Helvetica">This course
provides (a) an introduction to building models of complex systems
(physical, biological, social and engineered), and (b) the study of
networks, including topologies and dynamics of real world
networks.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">The course will
cover the basic construction and analysis of models including
identifying what is to be modeled, constructing a mathematical
representation, analysis tools and implementing and simulating the
model in a computer program. Particular attention will be paid to
choosing the right level of detail for the model, testing its
robustness, and discussing which questions a given model can or cannot
answer.</font><br>
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<blockquote type="cite" cite><font face="Helvetica">The study of
networks will introduce the use of network topologies and the
characterization of networks describing complex systems, including
such concepts as small worlds, degree distribution, diameter,
clustering coefficient, modules, and motifs. Different types of
network topologies and network behaviors that model aspects of real
complex systems will be described including: modular, sparse, random,
scale-free, influence, transport, transformation, and
structure.</font></blockquote>
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<blockquote type="cite" cite><font face="Helvetica">NOTE: Students
without a background in programming are strongly recommended to attend
CX102: Computer Programming and Complex Systems in conjunction with
CX202.</font><br>
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size="+1"><b>Comments from past students</b></font><br>
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<blockquote type="cite" cite><font face="Helvetica">"Excellent
course...useful thematic overview... applications in diverse contexts
were exciting. Particularly appreciated the group project - excellent
experiential pedagogy."</font><br>
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<blockquote type="cite" cite><font face="Helvetica">"The course
was an eye-opening framework to analyze my work through a different
lens."</font><br>
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<blockquote type="cite" cite><font
face="Helvetica">"Presentations were extremely useful for me in
understanding how to begin modeling complex systems and assessing
them. Helped me understand a lot of things I have been doing so far
without clearly understanding the principles."</font><br>
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<blockquote type="cite" cite><font face="Helvetica">"This class
very much stretched my mind to apply the ideas of complexity to the
world... I believe I learned more on a grander scale... will help
enrich my vocabulary and the way of thinking in the world with respect
to complexity."</font><br>
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<blockquote type="cite" cite><font face="Helvetica">"Excellent
class. I hope to take a more active role in the
community."</font><br>
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<blockquote type="cite" cite><font face="Helvetica">"The NECSI
2011 Winter session provided me with a clear framework for current
complex systems research and provided pathways for potential future
research."</font><br>
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<blockquote type="cite" cite><font face="Helvetica">"This course
contained more insight than any other 'complexity' themed course that
I have taken."</font><br>
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<blockquote type="cite" cite><font face="Helvetica">For more
information and registration:</font></blockquote>
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<div>-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
-- -- --<br>
-- Dr. Johannes W. Dietrich, M.D.<br>
-- Laboratory XU44, Endocrine Research<br>
-- Medical Hospital I, Bergmannsheil University Hospitals<br>
-- Ruhr University of Bochum<br>
-- Buerkle-de-la-Camp-Platz 1, D-44789 Bochum, NRW, Germany<br>
-- Phone: +49:234:302-6400, Fax: +49:234:302-6403<br>
-- eMail: "j.w.dietrich@medical-cybernetics.de"<br>
-- WWW: http://medical-cybernetics.de<br>
-- WWW: http://www.bergmannsheil.de<br>
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
-- --</div>
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