[info] New England Complex Systems Institute Announcement

[Eugen Leitl]

----- Forwarded message from NECSI Programs <programs at necsi.edu> -----

From: NECSI Programs <programs at necsi.edu>
Date: Thu, 29 May 2008 18:48:33 -0400
To: Announcements of Complex Systems Activities <complex-announcements at necsi.org>
Subject: New England Complex Systems Institute Announcement

NECSI Summer School

Registration is still open for the complex systems courses
offered by the New England Complex Systems Institute.

June 16-20 / Complex Physical, Biological & Social Systems
June 23-27 / Complex Systems Modeling and Networks
June 30-July 4 / Methods for the Study of Complex Systems

See details below and online:
http://www.necsi.edu/events/summer2008.html

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TARGET AUDIENCE
These courses are intended for faculty, graduate students,
post-doctoral fellows 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.

Each week is the equivalent of a one semester course
in a one week format. They may be taken independently or
consecutively. If desired, arrangements for credit at a home
institution should be made in advance.

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WEEK ONE
CX201: Complex Physical, Biological and Social Systems

Dates:  June 16-20, 2008
Location:  MIT, Cambridge, MA

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.

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.

Methods to be discussed include: statistical methods, cellular
automata, agent-based modeling, pattern recognition, system
representation and informatics.

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WEEK TWO
CX202: Complex Systems Modeling and Networks

Dates:  June 23-27, 2008
Location:  MIT, Cambridge, MA

This course provides an introduction to building models of
complex systems (physical, biological, social and engineering),
and network architectures dynamic processes.

It 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 simulation. 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.

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,
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.

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WEEK THREE
CX203: Methods for the Study of Complex Systems

Dates:  June 30-July 4, 2008
Location:  MIT, Cambridge, MA

This course provides an introduction to mathematical tools for
analysis of complex systems.

It will cover the basic construction and analysis of models
including iterative maps, stochastic processes, markov chains,
cellular automata, stochastic fields, Monte Carlo simulations,
information theory, computation theory, scaling, fractals and
renormalization, linear stability analysis, pattern formation, and
mean field theory.

This course is designed to provide a foundation for mathematical
analysis of a variety of models of complex systems, as a
foundation for advances that are not possible with conventional
calculus and statistics.

An advanced mathematical background corresponding to a
junior or senior college level background in mathematics or
physics is recommended for this week three course.

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For more information and registration:
http://www.necsi.edu/events/summer2008.html


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-----------------
The New England Complex Systems Institute
24 Mt. Auburn St., Cambridge MA 02138
617-547-4100

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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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