# DTC/Erasmus Mundus Summer School Lecture Schedule

## 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