CODE 81153 ACADEMIC YEAR 2021/2022 CREDITS 6 cfu anno 2 BIOENGINEERING 11159 (LM-21) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/06 LANGUAGE Italian (English on demand) TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW The course gives representation to the student of the entire roadmap leading to the international shared decision of the area of Neuroinformatics, at the bidirectional intersection between Neuroscience and ICT, as a big science problem, having relevant impact in neurology and neuropsichiatry as well as in the field of bio-inspired devices and applications, so as defined at OECD level in 2002 and realized thorugh the instituiton of INCF, the International Neuroinformatics Facility: www.incf.org, at the Karolinska Insitute in Stockholm, where a full detailed description of all the Neuroinfromatics topics may be found. AIMS AND CONTENT LEARNING OUTCOMES The educational objective of the Neuroinformatics course is to enable the student to use ICT tools for the study of neuroscience and, at the same time, to stimulate his reflection on how knowledge of neuroscience can be a useful source for him to the conception of new ICT paradigms. This objective characterizes Neuroinformatics, through research and training, to produce knowledge capable of generating social and economic value both in the domain of neuroscience and in the ICT domain. AIMS AND LEARNING OUTCOMES Making the student aware of the great potential for R&D e practical applications of an integrated approach betweeen neuroscience and ICT (according to a sort of feedback model). PREREQUISITES 3 year Laurea degree in Biomedical Engineering. TEACHING METHODS Lectures in classroom. SYLLABUS/CONTENT Categories of neuroscience experimental data, structural and functional bioimages integration of the human central nervous system, structural and functional elements of the human central nervous system, neurons, synapses and neurotransmitters, ICT techniques to define models describing neuropharmacological aids and neurotransmitters interactions. Distributed data sharing and mathematical programming techniques for the optimization in the management of complex and large/big neuroscience data. RECOMMENDED READING/BIBLIOGRAPHY Stephen Stahl, “Essential Psychopharmacology – Neuroscientific Basis and Practical Applications”, Cambridge, 2013, https://www.incf.org and indicated by the teacher while lecturing. TEACHERS AND EXAM BOARD FRANCESCO BELTRAME Ricevimento: Upon demand, by e-mail contact at: francesco.beltrame@unige.it or mobile phone contact at: 328-1003204. Teacher office: DIBRIS, Villa Bonino, Viale Causa, 13 – 16145 Genova, office telephone: 010-3532707 Exam Board FRANCESCO BELTRAME (President) SILVIO PAOLO SABATINI MARCO MASSIMO FATO (President Substitute) LESSONS LESSONS START https://corsi.unige.it/11159/p/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral examination. ASSESSMENT METHODS Oral examination commenting a scientific paper on neuroscience, and eventual (upon student demand) laboratory activity. Exam schedule Data appello Orario Luogo Degree type Note 07/01/2022 12:00 GENOVA Orale 03/02/2022 12:00 GENOVA Orale 17/02/2022 11:00 GENOVA Orale 17/02/2022 11:00 GENOVA Orale 13/06/2022 12:00 GENOVA Orale 30/06/2022 12:00 GENOVA Orale 21/07/2022 12:00 GENOVA Orale 13/09/2022 12:00 GENOVA Orale