Course on "Complex Systems"
DESCRIPTION: This is an advanced Statistical Mechanics course, key to the Theory, Soft and Condensed Matter Physics curricula.
The course also covers current theoretical and practical developments (e.g., in Physics, Quantitative Biology and Finance) and highlights connections to related high-profile international careers in science and business.
TOPICS: Part I (Theory) - Stochastic Processes; Advanced Stat. Mech. (equilibrium and off-equilibrium); Emergent behaviours, Phase Transitions and Critical Phenomena; Renormalization Group and Universality; Network theory; Computer simulations (Monte Carlo and MD). Part II (Applications) - Symmetry Breaking in particle systems; Soft Matter systems; BEC; Spin Glasses; Quantitative Finance (models of stocks/derivatives; Risk; Markowitz portfolio theory); Quantitative Biology (polymer physics and DNA organization; models of gene expression and regulation).
Course on "Bioinformatics"
DESCRIPTION: The course is an introduction to Bioinformatics, Computational and System Biology, i.e., the description of complex
phenomena of molecular and cell biology by high-throughput data analysis and quantitative models.
Suited for Informatics, Physics and Applied Math curricula, it aims to fill the gap to real-world applications in science and biomedical technology.
TOPICS: Part I - Introd. to Molecular Biology. Bases of bioinformatics (sequence statistics, gene finding, model selection, sequence alignment, phylogenetic analysis, clustering, hidden Markov models, identification of regulatory sequences). High-throughput technologies. Part II - Random Processes. Basic models of biological molecules (e.g., proteins, polymers) and their interactions. Elements of Stat. Mechanics. Computer simulations (Monte Carlo and MD). Gibbs sampling. Optimization (Simulated Annealing). Part III - Dynamics of gene activation and expression (transcription and replication noise). Cis-regulatory modules and distinct modes of regulation. Epigenetic determinants. Chromatin spatial higher-order organization and regulation. Biological networks.
Last update 20/01/2011