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BIOINFORMATICS PRINCIPLES AND BIG DATA ANALYSIS APPLIED TO ENVIRONMENTAL TOXICOLOGY Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
The main prerequisites are the knowledge of the basics of mathematics and physics for the understanding of mathematical functions and for the relative graphic interpretation of the same; Knowledge of the basics of general and organic chemistry.
Objectives Contents • Principles of statistics and bioinformatics.
Extended Syllabus Principles of statistics: normal and binomial distribution, random variables, and distribution functions. Multivariate analysis. Data visualization. PCA, cluster analysis and classification methods.
Recommended Bibliography • REBECCA C. FRY: “Systems Biology in TOXICOLOGY AND ENVIRONMENTAL HEALTH” Elsevier Academic Press.
Methods of Provision Teaching Methods Evaluation methods Verification of learning:
Oral exam: questions related to several topics explained during the lectures in which the interpretation and the discussion of concepts and data is required.
Contacts/More Information 3 CFU – 24 hours. Office hours to be prebooked (by e-mail or phone).
