ID 410

Course ID:

Course Code & Number

ID 410

Course Title

AI Competencies for Design

Level

BS

Credit Hours/ ECTS Credits

(2+2+0) 3 TEDU Credits, 5 ECTS Credits

Year of Study:

Semester:

Type of Course:

Elective

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Pre-requisite / Co-requisite:

Catalog Description

Introduction to fundamental concepts of artificial intelligence. Automation, agency, control, bias and transparency in human-AI interaction. Social and economic implications of AI technologies. Types of computational design methods and tools. Application and impact of LLMs, image generation and multimodal AI tools in design process and profession.

Course Objectives

This course aims to equip students with foundational literacy by introducing key concepts related to artificial intelligence. Students are encouraged to reflect on the professional, societal and ethical implications of AI technologies from a critical perspective. The course supports the development of practical skills in applying large language models (LLMs), media generation models, and AI-supported design tools to design tasks. Students actively explore diverse tools and practice integrating these into their design workflows. Throughout the course, students are guided to interpret the impact of AI technologies on contemporary and future roles within the design profession.

Software Usage

Generative AI tools, digital design tools

Course Learning Outcomes

1. Describe key concepts related to traditional and generative AI.
2. Reflect on the societal and economic impact of AI technology and ethical considerations.
3. Utilise LLMs and multimodal AI tools for design research, problem definition and ideation.
4. Devise diverse digital design tools for AI-supported tasks.
5. Interpret the impact of AI technologies on the design profession.

Learning Activities and Teaching Methods:

Assessment Methods and Criteria:

Assessment Methods and Criteria Others:

Design Content

Recommended Reading

Required Reading

Grading

Learning Activities and Teaching Methods Others:

Course Coordinator:

Student Workload:

Workload	Hrs
Lectures	42
Hands-on Work	70
Exams/Quizzes	10
Poster Presentation	10

Course & Program Learning Outcome Matching: