CODE 113762 ACADEMIC YEAR 2024/2025 CREDITS 1 cfu anno 1 DESIGN NAVALE E NAUTICO 9008 (LM-12) - LA SPEZIA 1 cfu anno 2 DESIGN NAVALE E NAUTICO 9008 (LM-12) - LA SPEZIA SCIENTIFIC DISCIPLINARY SECTOR INF/01 LANGUAGE Italian TEACHING LOCATION LA SPEZIA SEMESTER 1° Semester MODULES Questo insegnamento è un modulo di: TOOLS AND STRATEGIC DISCIPLINES FOR DESIGN TEACHING MATERIALS AULAWEB AIMS AND CONTENT LEARNING OUTCOMES The course provides designers with an introductory and accessible view of the fundamental principles of Artificial Intelligence, focusing on predictive and generative AI, as well as exploring the ethical implications related to AI in design. AIMS AND LEARNING OUTCOMES Objectives Understand the basic concepts of Artificial Intelligence. Distinguish between predictive and generative AI. Analyze the ethical implications of AI in design. Evaluate how AI can influence and enhance design processes. Outcomes Gain familiarity with the fundamental principles of Artificial Intelligence. Identify the various applications of AI in design. Discuss ethical issues associated with the use of AI. Apply basic AI knowledge to improve design projects. TEACHING METHODS The teaching activity will be provided in person through lectures and exercises. SYLLABUS/CONTENT Introduction to AI Predictive AI Generative AI Practical applications Ethical implications of AI use RECOMMENDED READING/BIBLIOGRAPHY Letture consigliate Tomaso Poggio, Marco Magrini Cervelli, menti, algoritmi. Il mistero dell'intelligenza naturale, gli enigmi di quella artificiale. Sperling & Kupfer, 2023 TEACHERS AND EXAM BOARD ANNALISA BARLA Ricevimento: On demand, upon explicit request by email Exam Board FILIPPO BERTANI (President) MARIA MOROZZO DELLA ROCCA E DI BIANZE' ANNALISA BARLA (President Substitute) ANDREA VIAN (President Substitute) LESSONS LESSONS START https://corsi.unige.it/corsi/9008/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam consists in the development of a group project that demonstrates understanding of the course content and the ability to apply the acquired tools in a design context. ASSESSMENT METHODS The evaluation is based on the assessment of: • Knowledge of key concepts • Critical analysis skills FURTHER INFORMATION Students with disabilities or learning disorders are 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. Students are invited to contact the teacher of this course and copy the Delegate (https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita.html).
