Draft Lecture timetable:

All lectures will take place in the Zeeman Building. Room numbers to be confirmed. Coffee breaks and social events will take place in the Mathematics Common Room.

 

Time/Day	Monday 14-05-12	Tuesday 15-05-12	Wednesday 16-05-12
09:30	Opening coffee/registration Mathematics Common Room	Lecture: Shalizi Room: B3.02	Lecture: Shalizi Room: B3.02
11:00	Introduction from the organisers Room: B3.02	Coffee break Mathematics Common Room	Coffee break Mathematics Common Room
11:30	Lecture: Shalizi Room: B3.02	Lecture: Chakrabarty Room: B3.02	Lecture: Chakrabarty Room: B3.02
13:00	Lunch Mathematics Common Room	Lunch Mathematics Common Room	Lunch Mathematics Common Room
14:00	Lecture: Chakrabarty Room: B3.02	Lecture: Lindgren Room: B3.02	Lecture: Lindgren Room: B3.02
15:30	Break Mathematics Common Room	Break Mathematics Common Room	Break Mathematics Common Room
16:00	Lecture: Lindgren Room: B3.02	Computer-based tutorial session: Watkins Room: A0.02	Computer-based tutorial session: Watkins Room: A0.02
18:00	Welcome Reception Mathematics Common Room	Informal poster session with dinner Mathematics Common Room

 

 

Summary of lecture courses:

 

Cosma Shalizi: Chaos, Complexity and Inference

• Lecture 1 : Predicting unstable dynamics
• Lecture 2 : Inference with heavy-tailed distributions. PDF of slides.
  
• Lecture 3 : Linking models of networks and agents to data

 

Dalia Chakrabarty: inverse Learning in complex systems using statistical inference

• Lecture 1 : General inversion techniques and their shortcomings, ill posed problems, integral equations, role of sparsity, uniqueness considerations and motivation for uncertainty quantification. PDF of slides.
  
• Lecture 2 : Invoking information to render problem well-posed, motivating non-parametric modelling in complex systems, how to model measurement noise, modelling dependence on quality and quantity of data. PDF of slides.
  
• Lecture 3 : Optimisation and shortcomings in complex, real-life systems, MCMC techniques, distribution-free, statistical tests of hypothesis. PDF of slides.
  

 

Kristian Lindgren: Information Theory for Complex Systems

• Lecture 1 : Information theory and cellular automata. PDF of slides.
  
• Lecture 2: Flows of information in spatially extended chemical dynamics. PDF of slides.
  
• Lecture 3: Statistical mechanics of spin systems and chaotic dynamics. PDF of slides.
  

Nick Watkins : Computer-based experiments

• Worksheet 1
• Worksheet 2
  
• Matlab script plfit.m
• Matlab script plplot.m
• Data file : fires.txt
• Data file : words.txt
• Data file : metab.txt
  
• See also metadata page at http://tuvalu.santafe.edu/~aaronc/powerlaws/data.htm