The Bioinformatics in Health Sciences course aims at presenting and providing practical training in the application of computational methodologies to the organization, analyses and comprehension of data generated in biological and health sciences research. By the end of the course the students will be able to identify situations where Bioinformatics is useful in the resolution of a specific problem and skilfully chose and implement the appropriate computational technique.
Acquire and update skills and knowledge in the various current domains in Health Law and understand the problems posed to society and the legislature in matters of Bioethics.
This course addresses the transformations that digital technologies are bringing to social research, exploring new tools, methodological approaches, and the associated ethical challenges.
In recent years, significant advancements in neuroscience tools have provided researchers with a new in-depth perspective on brain function. Novel anatomical, optical, genetic, electrophysiological, and imaging approaches have opened new possibilities for investigating neuronal circuits.
This hands-on course offers advanced training on various tools used for the analysis of neuronal circuits, including neuronal tracing strategies, fiber photometry, calcium/sensor imaging with miniaturized microscopes, in vivo electrophysiology, and opto- and chemo-genetics. The course places a strong emphasis on how to design and develop a correct experiment using these tools, and on the appropriate controls, and on the limitations of these methodologies. This approach ensures that participants comprehend the strengths and limitations of each technique and can design, implement, and interpret experiments correctly. By the end of the course, students will have gained the basic skills and knowledge necessary to undertake innovative research projects in neuroscience.
