Program Overview

Program Overview

The Generative Artificial Intelligence program is a module that explores the application of generative AI tools in design. The program focuses on text-to-text, text-to-image, and text-to-video models, and students will learn how to integrate these tools into the design process.

Aims and Content

Learning Outcomes

The program aims to reveal the capabilities and applications of generative AI in design. Students will learn how to:

• Become familiar with the main generative AI tools
• Effectively and responsibly integrate generative tools into the design process
• Reflect critically on the creative, technical, and ethical use of generative AI in design
• Experiment with AI tools to generate visual and textual content supporting design ideation

Prerequisites

Students are required to have:

• Ability to analyze and solve complex design-related problems
• Basic knowledge of programming concepts and ability to use design software
• Familiarity with digital tools and online collaboration platforms
• Basic knowledge of calculus and statistics
• Ability to apply quantitative methods for analyzing and solving design problems
• Ability to critically evaluate the ethical and practical implications of emerging technologies in design

Teaching Methods

The program will be provided in person through lectures and exercises.

Syllabus/Content

The program will cover:

• Introduction to generative models: definition and working principles
• Overview of text-to-text, text-to-image, and text-to-video tools
• Use cases of generative AI tools in design workflows
• Prompt experimentation and generation of visual/textual content
• Critical reflection on risks, bias, and ethical aspects of generative AI
• Case study discussions and design best practices

Teachers and Exam Board

The program will be taught by Andrea Vian.

Lessons

The timetable for this course is available on the Portale EasyAcademy.

Exams

Exam Description

The exam consists of 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.