CODE 104856 ACADEMIC YEAR 2022/2023 CREDITS 1 cfu anno 2 ROBOTICS ENGINEERING 10635 (LM-32) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/05 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester MODULES Questo insegnamento è un modulo di: MACHINE LEARNING FOR ROBOTICS II TEACHING MATERIALS AULAWEB OVERVIEW This module is dedicated to the study by the student of a specific use case of Machine Learning and Data Analysis related to robotics AIMS AND CONTENT LEARNING OUTCOMES In this module, students will focus on the study of real use cases specifically related to robotics, on the basis of methodologies and insights discussed in the first module of the course AIMS AND LEARNING OUTCOMES The student will acquire skills in the study, development, solution of a real case study in the field of Machine Learning robotics and Data Analysis. PREREQUISITES Coding (Matlab/Python/R), linear algebra, probability and statistics TEACHING METHODS Project to be carried out independently or in groups of a maximum of two people. SYLLABUS/CONTENT Choice of a case study of Machine Learning and Data Analysis for robotics Study of the state of the art and in-depth analysis of the case study Case study solution through Machine Learning and Data Analysis techniques RECOMMENDED READING/BIBLIOGRAPHY F. X. Govers "Artificial intelligence for robotics: Build intelligent robots that perform human tasks using AI techniques" 2018 TEACHERS AND EXAM BOARD LUCA ONETO Ricevimento: By appointment, scheduled by email. LESSONS LESSONS START https://corsi.unige.it/10635/p/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral by appointment Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities. ASSESSMENT METHODS The student will solve a real problem at will (specifically related to robotics) by applying the techniques learned during the first module of the course. Exam schedule Data appello Orario Luogo Degree type Note 16/02/2023 09:00 GENOVA Esame su appuntamento 15/09/2023 09:00 GENOVA Esame su appuntamento OpenBadge PRO3 - Soft skills - Gestione progettuale base 1 - A PRO3 - Soft skills - Creazione progettuale avanzato 1 - A PRO3 - Soft skills - Imparare a imparare avanzato 1 - A PRO3 - Soft skills - Sociale avanzato 1 - A PRO3 - Soft skills - Personale avanzato 1 - A