[Biomedical-cybernetics] Summer School on Complex Systems

[Johannes W. Dietrich]

FYI:

>New England Complex Systems Institute
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>Summer School on Complex Systems
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>We are pleased to announce the dates of our upcoming courses on 
>complex systems.
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>Note: The International Conference on Complex Systems (ICCS) 
>immediately follows the summer school June 26-July 1.
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>June 13-17, 2011 / Complex Physical, Biological & Social Systems
>		June 19, 2011 / Computer Programming and Complex Systems
>		June 20-24, 2011 / Complex Systems Modeling and Networks
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>Target Audience
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>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.
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>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.
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>See course descriptions below or online at:
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>	<http://www.necsi.edu/education/school.html>www.necsi.edu/education/school.html
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>WEEK ONE
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>CX201: Complex Physical, Biological and Social Systems
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>Dates: June 13-17, 2011  |  Location: MIT, Cambridge, MA
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>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.
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>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.
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>Methods to be discussed include: statistical methods, cellular 
>automata, agent-based modeling, pattern recognition, system 
>representation and informatics.
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><http://www.necsi.edu/education/school.html?action=wk1>www.necsi.edu/education/school.html?action=wk1
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>LAB
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>CX102: Computer Programming and Complex Systems
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>Date: June 19, 2011  |  Location: MIT, Cambridge, MA
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>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.
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>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.
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><http://www.necsi.edu/education/school.html?action=lab>www.necsi.edu/education/school.html?action=lab
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>WEEK TWO
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>CX202: Complex Systems Modeling and Networks
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>Dates: June 20-24, 2011  |  Location: MIT, Cambridge, MA
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>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.
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>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.
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>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.
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>NOTE: Students without a background in programming are strongly 
>recommended to attend CX102: Computer Programming and Complex 
>Systems in conjunction with CX202.
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><http://www.necsi.edu/education/school.html?action=wk2>www.necsi.edu/education/school.html?action=wk2
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>Comments from past students
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>"Excellent course...useful thematic overview... applications in 
>diverse contexts were exciting. Particularly appreciated the group 
>project - excellent experiential pedagogy."
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>"The course was an eye-opening framework to analyze my work through 
>a different lens."
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>"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."
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>"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."
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>"Excellent class. I hope to take a more active role in the community."
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>"The NECSI 2011 Winter session provided me with a clear framework 
>for current complex systems research and provided pathways for 
>potential future research."
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>"This course contained more insight than any other 'complexity' 
>themed course that I have taken."
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>For more information and registration:
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>	<http://www.necsi.edu/education/school.html>www.necsi.edu/education/school.html
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-- 
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
-- Dr. Johannes W. Dietrich, M.D.
-- Laboratory XU44, Endocrine Research
-- Medical Hospital I, Bergmannsheil University Hospitals
-- Ruhr University of Bochum
-- Buerkle-de-la-Camp-Platz 1, D-44789 Bochum, NRW, Germany
-- Phone: +49:234:302-6400, Fax: +49:234:302-6403
-- eMail: "j.w.dietrich at medical-cybernetics.de"
-- WWW: http://medical-cybernetics.de
-- WWW: http://www.bergmannsheil.de
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
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