In this course we introduce advanced mathematical concepts and methods from optimization, numerics and statistics relevant to current reseach in bioinformatics and systems biology. Topics of interest include:

- Linear optimization (Simplex algorithm, duality)

- Integer linear optimization (branch-and-bound, cutting planes, branch-and-cut)

- Local search and metaheuristics

- Ordinary differential equations (modeling, analysis, sensitivity)

- Linear models and test theory - Classification - Bootstrap and model evaluation

- Markov models (EM, HMM, MCMC)