[Biomedical-cybernetics] Registration Open - NECSI Summer School

[programs at necsi.org]

June 6-17, 2016
NECSI Summer School
Early Registration Open
Register by April 1st to take advantage of early registration discounts!

June 6-10: Complex Physical, Biological & Social Systems
June 12: Computer Programming and Complex Systems
June 13-17: Complex Systems Modeling, Networks, and Data Analytics

Location: MIT, Cambridge, MA

Course Information

These courses welcome registration by faculty, graduate students, post- 
doctoral fellows, professionals and others who would like to gain an  
understanding of the fundamentals of complex systems for application  
to research in their respective fields, or as a basis for pursuing  
complex systems research.

The NECSI Summer School offers two intensive week-long courses which  
can be taken together or separately, one is not a prerequisite for the  
other. The 2nd week has been updated this year to include an  
introduction to data analytics, in addition to complex systems  
modeling and networks. The courses consist of lectures, discussions,  
and supervised group projects. If desired, arrangements for credit at  
a home institution may be made in advance. Information regarding room  
accommodations with local university housing will be provided to  
course registrants.


See course descriptions below or online at:

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

WEEK ONE CX201: Complex Physical, Biological and Social Systems

Dates: June 6-10, 2016

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

LAB CX102: Computer Programming and Complex

Systems Date: June 12, 2016

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

WEEK TWO CX202: Complex Systems Modeling, Networks & Data Analytics

Dates: June 13-17, 2016

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, and (c) an introduction to data analytics.

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.

The introduction to data analytics will cover skills needed to  
transform raw data into visualizations and insight. A variety of  
visualization techniques will be covered, including interactive  
representations. Analytic methods to be covered include: time series  
analysis, network analysis, data mining, machine learning,  
distribution fitting, and more. Students will learn to obtain and  
prepare data for analysis. An overview of academy- and industry- 
standard toolboxes for handling data will be given, including the  
construction of databases, visualization, and analysis.

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

http://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.

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

For more information and registration, visit: http://necsi.edu/education/school.html


New England Complex Systems Institute
210 Broadway Suite 101
Cambridge, MA 02139
Phone: 617-547-4100
Fax: 617-661-7711
necsi.edu



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