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[[Agent-Based Modeling: Non-Technical Overview and Applications]]
[[Agent-Based Modeling: Non-Technical Overview and Applications]]
[[Programming without lines of code: a graphical approach to programming using LabVIEW]]


==Tutorial requests==
==Tutorial requests==

Revision as of 02:14, 11 June 2007

CSSS Santa Fe 2007


Tutorial offers

Discussion of Finite State Machines DONE

Eigenvectors and Eigenvalues !!NOTE NEW TIME!! Wednesday, June 13, 10:30-11:30am

Consciousness and/or visual processing Tuesday June 12, 9:15AM

Cellular Automata Wed June 13 9 am

Closure Under Inversion Wed, 13 June, 7 to 8 pm

Artificial Neural Networks Friday, June 15, 1-2P

Applications of non-commutative harmonic analysis Friday, June 15 2-4pm (provisional)

Intro to Game Theory Mon June 18, 7pm to 8:30pm

Evolutionary Game Theory Wed June 20, 10:45am-12pm

Introduction to Ecological Analysis

Matlab tutorial

Self Organized Criticality What is it? How does it relate to Complex Systems? What are some criticisms?

Complexity for the General Public

Stochastic search strategies and animal foraging

Human physiology or disease process

AHP and ExpertChoice

Wiki Tutorial 101: Ramp up and become a wikimaniac; learn the basics of wiki texting, discussions, etc.

UML for Complex Systems - how to address complexity/chaos in projects using the Unified Modeling Language (UML)

Social Choice Theory and the problem of collective rationality

Net Assessment

Agent-Based Modeling: Non-Technical Overview and Applications

Programming without lines of code: a graphical approach to programming using LabVIEW

Tutorial requests

  • Introduction to machine learning and/or statistical learning
  • NetLogo (now that we know what cool stuff it can do, it'd be nice to get a hands-on tutorial; e.g. bring a laptop to the tutorial and have a guided try-this session).
  • Game theory, evolutionary game theory, stochastic game theory
  • Genetic algorithms -> I think GA's will be covered in the evolutionary computation lectures. But if not, I'd be happy to give an informal introduction. ->Josh
  • Eigenvalues and Eigenvectors
  • Attractor Neural Networks
  • Control theory
  • Sequence Complexity/Information Theory [Gregor] -> Information theory will be covered by Tom_Carter in a late breaking session Friday 8th, 1.30. This will probably cover sequence complexity.
  • Mathematics of Stochastic Processes
  • Stochastic Differential Equations (e.g., Ito Calculus)
  • Speedreading