#### Lectures

The overview can be subject to change in the later part of the course.

- Sept 5, Introduction by Kim Sneppen
- Sept 7, Statistical Mechanics and definition of phase transitions (JOH)
- Sept 12, Ising model, Critical exponents, Mean field theory (JOH)
- Sept 14, Landau Theory and 1D transfer matrix method (JOH)
- Sept 19, Series expansion techniques (JOH)
- Sept 21, Monte Carlo Methods, RG for 1D Ising model, time permitting (JOH)
- Sept 26, Networks (KS), Chapter 41., 4.2. Questions 4.1, 4.2, 4.3, 4.4a, 4.4b, 4.5.
- Sept 28, Networks (KS), Chapter 4.2.2, 4.3, 4.5. Questions 4.6 (page 85), Generate scale free networks with n(k)=1/k**2.5 (see footnote bottom page 82), Questions 4.8, 4.10, 4.11 (extra 4.12, and eventually also calculate the search information between all pairs of nodes).
- Oct. 3, Networks (KS), Chapter 4.6. Questions 4.17, 4.19, 4.21, 4.22.
- Oct. 5, First return of random walker (iappendix, chapter 2) Stochastic events from Chapter 5.1, 5.2 and 5.3 (Gillespie). Agent based models Chapter 6.1, 6.2. Draw 100000 numbers xi=-log(rani)/3 where rani is uniform between 0 and 1 and make histogramm of xi. Question 5.3 using population size 10000, Question 6.1, 6.2, 6.4
- Oct. 10, Agent based models (KS), Chapter 6.3, 6.4 (Voter model, Voter model with cooperativity, description of multi state model). Questions 6.5, 6.6, 6.8 (the last question deal with a non-equilibrum analog to the Potts model).
- Oct. 12, Agent based models (KS), Chapter (6.5), 6.7, 6.6, 6.8 and 7.5. Questions 6.13 (first question in chapter6.7), and last question in chapter 6.7 (falsely labeled).
- Oct. 24, Game theory: Bet hedging, quit and double game, bluffing game. Questions ordered after importance: 7.7, 7.6,7.8,7.9.
- Oct. 26, Econophysics, 8.1 (Hill exponent), 8.2 (Fear-factor model), 8.4 (price on risk, bet hedging in random walks), 8.5 (grwoth and collapse model). question 8.1, 8.2, 8.7.
- Oct. 31, 10:15 general exersizes (come and ask about whatever exersizes during course)
- Nov. 2, 10:15: ...Question hours
- Nov 9, 10 and 13: Exam