CSSS 2007 Santa Fe-Tutorials

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Week 1: June 4th to 8th

• Discussion of Finite State Machines - Thur June 7th, 7-8:30pm

Week 2: June 11th to 15th

• Matlab tutorial - Monday June 11th, 7-8:30pm

• Consciousness and/or visual processing - Tuesday June 12th, 9:15am-10:15am, PPT available

• Eigenvectors and Eigenvalues - Tuesday, June 12, 7pm-7:50pm

• Cellular Automata - Wed June 13th, 9 am

• Agent-Based Modeling: Non-Technical Overview and Applications - Thu 14 June, 4:45pm

• Stochastic search strategies and animal foraging - Thu 14 June, 7-8pm

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

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

Week 3: June 18th to 22nd

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

• Closure Under Inversion - Tuesday, 19 June, 4:45 to 5:45 pm

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

• UML for Complex Systems - Wed 20 June, 7-8:30pm

• R Tutorial - Thursday, June 21, 7:00pm-8:30pm

Offers

• Introduction to Ecological Analysis

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

• 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.

• Social Choice Theory and the problem of collective rationality - Arrow Theorem and more...

• Net Assessment

• 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

• Discussion on Computational Mechanics

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).

  I totally agree. And some of us need this tutorial REAL SOON ! ( Saleha )

• 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.

• Agent-based models of social systems Non-Technical Introduction and Overview - see above offerings

• Mathematics of Stochastic Processes

• Stochastic Differential Equations (e.g., Ito Calculus)

• Speedreading

• Graph Theory [Gregor]