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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