January 4 - 15, 2016 NECSI Winter School Complexity Courses - REGISTRATION OPEN
January 4-8: Complex Physical, Biological & Social Systems
January 10: Computer Programming and Complex Systems
January 11-15: Complex Systems Modeling and Networks
Location: MIT, Cambridge, MA
These courses are intended for faculty, graduate students, post-doctoral fellows, and professionals who would like to gain an understanding of complex systems methods for research and applications.
The winter school offers two intensive week-long courses with lectures, discussions, and supervised group projects. Though the second week builds on material covered in the first week, one is not a prerequisite for the other. Register for either or both weeks. Arrangements for credit at a home institution may be made in advance.
See course descriptions below or online at: http://www.necsi.edu/education/school.html
CX201: Complex Physical, Biological and Social Systems
Dates: January 4-8, 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
CX102: Computer Programming and Complex Systems
Date: January 10, 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
CX202: Complex Systems Modeling and Networks
Dates: January 11-15, 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.
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 the Sunday Lab CX102: Computer Programming and Complex Systems in conjunction with CX202.http://necsi.edu/education/school.html?action=wk2
For more information and registration, visit: http://necsi.edu/education/school.html
New England Complex Systems Institute
210 Broadway Suite 101
Cambridge, MA 02139