June 6-17, 2016
NECSI Summer School
Early Registration deadline approaching
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
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:
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: