[Biomedical-cybernetics] NECSI Winter School: Early Registration Deadline

[programs at necsi.org]

January 7 - 18, 2013
NECSI Winter School
Early Registration Deadline Reminder
WEEK 1

CX201: COMPLEX PHYSICAL, BIOLOGICAL AND SOCIAL SYSTEMS

January 7 - 11

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.

http://www.necsi.edu/education/school.html?action=wk1


LAB

CX102: COMPUTER PROGRAMMING AND COMPLEX SYSTEMS

January 13

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.

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.

http://www.necsi.edu/education/school.html?action=lab


WEEK 2

CX202: COMPLEX SYSTEMS MODELING AND NETWORKS

January 14 - 18

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.

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.

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.

NOTE: Students without a background in programming are strongly  
recommended to attend CX102: Computer Programming and Complex Systems  
in conjunction with CX202.

http://www.necsi.edu/education/school.html?action=wk2


Comments from previous students:

"Excellent course...useful thematic overview... applications in  
diverse contexts were exciting. Particularly appreciated the group  
project - excellent experiential pedagogy."

"The course was an eye-opening framework to analyze my work through a  
different lens."

"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."

"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."

"Excellent class. I hope to take a more active role in the community."

"The NECSI 2011 Winter session provided me with a clear framework for  
current complex systems research and provided pathways for potential  
future research."

"This course contained more insight than any other 'complexity' themed  
course that I have taken."

For more information and registration, visit:

http://www.necsi.edu/education/school.html


New England Complex Systems Institute
238 Main Street Suite 319
Cambridge, MA 02142
Phone: 617-547-4100
Fax: 617-661-7711



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