[Biomedical-cybernetics] Early Registration Deadline this Friday

[programs at necsi.org]

June 6-17, 2016
NECSI Summer School
Early Registration deadline this Friday
Register by April 1st for discounted registration

Summer School Schedule:
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

The NECSI Summer School has been redesigned this year to add data  
analytics to the 2nd week course - CX202: Complex Systems Modeling,  
Networks, and Data Analytics. The program will cover skills needed to  
transform raw data into visualizations and insight.

Tools for big data:

▪ Construction of databases,

▪ Compelling visualizations,

▪ Analysis tools: time series, spatial/geographical and network  
analysis,

▪ data mining, and

▪ machine learning

Registration and course information:

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

Course Description

In addition to data analytics, CX202 will include (1) the construction  
and analysis of models and (2) the study of networks.

Modeling: Basic construction and analysis of models will take students  
through the process of identifying what is to be modeled, constructing  
a mathematical representation, using analysis tools, and implementing  
and simulating the model in a computer program.

Networks: 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.

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 multi scale  
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.

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. 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.


Register by April 1st to take advantage of early registration discounts!

See detailed course descriptions online at:

http://www.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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