Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	366738	Introduction to Design Thinking with Generative AI	1	3.0	3	★	Su,Yu-Min	4ARCH1	1	0

Course Plan：

Instructor	Su,Yu-Min　Office Hours
Email	ymsu0415@mail.ntut.edu.tw
Last Updated	2026-06-23 13:57:20
Course Objective	本課程旨在引導建築系一年級學生理解當代生成式人工智慧（Generative AI）之基礎概念與應用方式，並建立面對未來設計環境所需之基本數位素養。課程內容將結合建築與設計領域之相關案例，介紹生成式 AI 於學習、設計發想、圖像生成與資訊整理等面向之應用。 課程將涵蓋生成式 AI 的基礎操作、提示詞（Prompt）撰寫與工具使用方法，以及 AI 於學術與教學場域中的倫理規範與使用原則。透過實際操作與討論，協助學生在建築設計學習初期，即建立對 AI 工具之基本理解與應用能力，並思考人工智慧於未來建築與設計領域中的角色與可能性。 This course aims to guide first-year architecture students in understanding the foundational concepts and applications of contemporary Generative AI, while building the essential digital literacy needed for future design environments. The course will integrate relevant examples from the fields of architecture and design, introducing how generative AI can be applied in learning, design ideation, image generation, and information organization. The course will cover fundamental operations of generative AI, prompt crafting and tool usage, along with ethical guidelines and principles for AI use in academic and teaching contexts. Through hands-on practice and discussions, students will develop a foundational understanding of AI tools at the beginning of their architectural education and reflect on the role and potential of AI in the future of architecture and design.
Course Schedule	W1 Introduction to Generative AI and Future Architectural Design W2 AI Tools and Digital Literacy W3 Fundamentals of Prompt Engineering I W4 Fundamentals of Prompt Engineering II W5 AI Ethics, Academic Integrity, and Design Responsibility W6 AI for Architectural Research and Case Study Analysis W7 AI-Assisted Concept Development W8 Mid Test W9 AI Image Generation Fundamentals W10 AI Visual Analysis and Design Representation W11 AI-Integrated Architectural Design Workflow W12 AI for Spatial Narrative and Design Communication W13 AI for Architectural Presentation and Documentation W14 AI and Creative Thinking Strategies W15 AI-Assisted Design Project I W16 AI-Assisted Design Project II ---------------------------------------------------------------- W17 Learning Reflection and AI Design Review W18 Future Exploration of AI in Architecture
Evaluation and grading policy	Foundational understanding and ethics: 25% Prompt design and AI tool usage: 35% Reflection (course reflection): 10% Final presentation: 20% Attendance and participation: 10%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes All class materials will be released digitally through our designated online platform
The access to curricular consultation	Location: Design Building 851-1 Email: ymsu0415@mail.ntut.edu.
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment. ● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
The course corresponds to the SDGs	SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG10：減少不平等（Reduced Inequalities） SDG12：負責任的消費與生產（Responsible Consumption and Production）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note	To participate in this class, students are required to use certain AI tools (e.g., ChatGPT or other premium tools). Students will be responsible for any associated fees, which will be paid directly to the AI tool providers and not to the instructor or institution