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CSSS 2007 Santa Fe-Tutorials: Difference between revisions

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[[ Closure Under Inversion]]  
[[ Closure Under Inversion]]  
shifted to Tuesday, 19 June, 4:45 to 5:45 pm
Shifted to Tuesday, 19 June, 4:45 to 5:45 pm


[[Artificial Neural Networks]]  
[[Artificial Neural Networks]]  

Revision as of 05:22, 13 June 2007

CSSS Santa Fe 2007


Tutorial offers

Cellular Automata Wed June 13 9 am

Eigenvectors and Eigenvalues !!NOTE NEW NEW NEW FINAL NEW NEW NEW TIME!! Tuesday, June 12, 7pm-7:50pm

Closure Under Inversion Shifted to Tuesday, 19 June, 4:45 to 5:45 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

Self Organized Criticality Whose idea was this? Simon? Let's do it!!!

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 - Arrow Theorem and more...

Net Assessment

Agent-Based Modeling: Non-Technical Overview and Applications

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

Nonlinear Physical Phenomena

StataTutorial

Simulating and analyzing biochemical networks with COPASI

Speedreading course

R Tutorial

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

Completed Tutorials

Discussion of Finite State Machines

Matlab tutorial

Consciousness and/or visual processing PPT available