Medicine and Surgery HT

Learning goals The course aims at providing students with a basic training in practical and theoretical bioinformatics using the most common models and tools for analyzing "omics" data in biology and molecular medicine. After completing the course, the student is expected to be able to analyze and interpret large-scale data such as, for example, a patient's transcriptomic data using appropriate methodologies implemented with matlab or other high-level programming languages . Furthermore, the student will be able to link the biological theory and the analysis techniques critically analyzing the results. Knowledge and understanding Students will acquire knowledge and understanding in the field of bioinformatics and computational medicine at a level including some innovative topics. Applying knowledge and understanding Students will be able to apply their knowledge and show familiarity with methods in bioinformatics and computational medicine; they will also acquire adequate skills both to support arguments, and to solve problems typical to the subject. Making judgements Students will be able to collect, analyse and interpret data in the field of bioinformatics and computational medicine, to produce autonomous judgments and critical reflections of the corresponding research themes. Communication skills Students will be able to communicate information, ideas, problems and solutions even to non-specialist research staff (MDs/biologists). Learning skills Students will develop those learning skills necessary to move towards continuous in-depth studies that characterize the rapid evolution of the discipline with a high degree of autonomy.

Lecture notes provided by the professor