Optimisation Techniques in Bioinformatics and Systems Biology
17 may - 21 may 2010
Detailed Course Programme
Monday, May 17th
INTRODUCTION AND FOUNDATIONS
10:00 – 13:00 Foundations of optimisation: Matrix algebra and other mathematical topics (AvK)
13:00 – 14:00 Lunch
14:00 – 15:00 Paper reading in groups
15:00 – 16:00 Paper presentations and opposition
16:00 – 17:30 Introduction univariate optimisation (AvK)
Tuesday, May 18th
LOCAL OPTIMISATION
10:00 – 13:00 Local optimisation techniques: Simplex method, Steepest Descent, Conjugate gradient (AvK)
13:00 – 14:00 Lunch
14:00 – 15:00 Paper reading in groups
15:00 – 16:00 Paper presentations and opposition
16:00 – 17:30 Computer practical: Simplex (Nelder-Mead) and related techniques (TB)
Wednesday, May 19th
STOCHASTIC OPTIMISATION
10:00 – 13:00 Stochastic optimisation techniques: Monte Carlo, Simulated Annealing, Particle Swarm Optimisation (JK)
13:00 – 14:00 Lunch
14:00 – 15:00 Paper reading in groups
15:00 – 16:00 Paper presentations and opposition
16:00 – 17:30 Computer practical: Simulated annealing and Particle Swarm Optimisation (TB)
Thursday, May 20th
GLOBAL OPTIMISATION
10:00 – 13:00 Global optimisation techniques: Genetic Algorithm, Dynamic programming, Expectation Maximisation (JK and JH)
13:00 – 14:00 Lunch
14:00 – 15:00 Paper reading in groups
15:00 – 16:00 Paper presentations and opposition
16:00 – 17:30 Computer practical: Genetic Algorithm, Dynamic programming (TB and JH)
Friday, May 21th
APPLYING MULTI-OBJECTIVE OPTIMISATION
10:00 – 13:00 Mixed and hybrid techniques: Application to Genetic networks (JK) 13:00 – 14:00 Lunch
14:00 – 15:00 Paper reading in groups
15:00 – 16:00 Paper presentations and opposition
16:00 – 17:30 Social optimisation: Drinks and bites