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CODE 113762
ACADEMIC YEAR 2024/2025
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE Italian
TEACHING LOCATION
  • LA SPEZIA
SEMESTER 1° Semester
MODULES Questo insegnamento è un modulo di:
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

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).