本課程是一門結合景觀設計思考與 AI 工具操作的實作型課程，將與景觀設計課程橫向連結，以主題式操作練習為主軸，引導同學在既有設計課的基礎上，學習如何運用 AI 來整理想法、發展概念，並輔助設計表達。本課程不以學會某一套軟體為目標，而是希望你建立一套清楚的設計思考流程，理解 AI 如何成為設計輔助，而不是代替你做設計。

課程中的 AI 輔助設計將分為兩大部分。第一部分為「關鍵字概念地圖（心智圖）」，重點在於「文 ⇄ 圖 ⇄ 文」的思考轉換。你將從文本閱讀、場地資料或設計主題出發，整理關鍵字並繪製概念地圖，將腦中的想法視覺化；接著透過 AI 協助，把這些圖像中的關鍵字與關聯，轉譯為文字敘述。這個過程能幫助你把模糊、零散的想法，整理成可以被說清楚、寫清楚的設計概念。

第二部分則是「指涉設計的圖像與影像生成」，包含文生圖、圖生圖與影片製作等操作。課程會設定明確的主題與任務，引導你將已整理完成的設計概念，轉化為 AI 生成的圖像或影像，作為探索空間氛圍、設計語彙與敘事方式的工具。這些生成成果並不是最終設計圖，而是用來幫助你思考「這樣的概念如果變成空間，可能會是什麼樣子」。

在整門課中，概念地圖（心智圖）將是你設計思考的核心工具。透過關鍵字與關聯性的整理，你可以同時處理層級與非層級關係、邏輯推論與聯想跳躍，讓感官經驗、記憶與知識在圖像中被看見、被比較。AI 在這裡扮演的是「轉譯與整理的輔助角色」，協助你把圖像化思考轉為可閱讀、可引用的設計語言。這些文字不是標準答案，而是作為你發展設計概念、中心思想與設計原則的重要索引。

課程的操作成果將包含：具線性敘事能力的設計簡報、由 AI 協助生成的圖像或影片，以及設計成果與概念關鍵字與論述之間的對應與檢驗。透過這門課，你將學會如何在 AI 時代中，結合思考力、表達力與設計判斷，發展屬於自己的景觀設計方法。

備註：
*本課程採雙教師授課，由柯彥宏與謝宜庭共同任教。因配合期末預選作業，新聘教師資訊將於完成相關程序後顯示於課程網頁。
*此處內容即由ChatGPT將原本以學術論文格式撰寫的課程大綱，改寫為「向學生介紹版本」。

This course is a practical course that combines landscape design thinking and AI tool operation. It will be horizontally connected to the landscape design course, with thematic exercises as the main axis, guiding students to learn how to use AI to organize ideas, develop concepts, and assist design expressions based on existing design courses. This course does not aim to learn a certain set of software, but hopes that you will establish a clear design thinking process and understand how AI can become a design assistant instead of doing design for you.

The AI-assisted design in the course will be divided into two parts. The first part is "Keyword Concept Map (Mind Map)", which focuses on the thinking transformation of "text ⇄ picture ⇄ text". You will start from text reading, site information or design themes, sort out keywords and draw concept maps to visualize the ideas in your mind. Then, with AI assistance, you will translate the keywords and associations in these images into text narratives. This process can help you organize vague and scattered ideas into design concepts that can be clearly stated and written.

The second part is "image and image generation involving design", including operations such as text drawing, drawing drawing and video production. The course will set clear themes and tasks, and guide you to transform the completed design concepts into AI-generated images or videos, which can be used as a tool to explore spatial atmosphere, design vocabulary and narrative methods. These generated results are not final design drawings, but are used to help you think about "what such a concept might look like if it were turned into a space."

Throughout this course, concept maps (mind maps) will be your core tool for design thinking. Through the organization of keywords and correlations, you can simultaneously handle hierarchical and non-hierarchical relationships, logical inferences and associative jumps, so that sensory experience, memory and knowledge can be seen and compared in images. AI plays an "auxiliary role in translation and organization" here, helping you transform graphical thinking into a design language that is readable and quotable. These words are not standard answers, but serve as important indexes for you to develop design concepts, central ideas and design principles.

The operational results of the course will include: design briefs with linear narrative capabilities, images or videos generated with the assistance of AI, and the correspondence and testing between design results and conceptual keywords and discussions. Through this course, you will learn how to combine thinking, expression and design judgment to develop your own landscape design methods in the AI ​​era.

Remarks:
*This course is taught by two teachers, Ke Yanhong and Xie Yiting. In order to cooperate with the final pre-selection exercise, the information of newly recruited teachers will be displayed on the course webpage after completing the relevant procedures.
*The content here is the course syllabus originally written in academic paper format, rewritten by ChatGPT into an "introduction version to students".

一、文字敘事意涵及其連結
[美] George Lakoff, Mark Johnson著，周世箴譯注，2006，《我們賴以生存的譬喻》。台北市：聯經。

二、心智圖在設計上的應用 (分析+腦力激盪)
[韓] 文燦、金美子、申熙卿、林男淑、李相勳等著，博碩文化譯，2011，《設計就是要與眾不同：從提升創意思考的能力開始》。新北市：博碩文化。

三、設計者與使用者之間的落差
[美] Donald A. Norman 著，陳宜秀譯，2014，《設計的心理學：人性化的產品設計如何改變世界》。台北市：遠流。

四、根據目錄可以得出設計的知識架構
王錦堂著，1984，《建築設計方法論》。台北市：臺隆書局。
[美] Michael Laurie著，林靜娟 邱麗蓉合譯，《景觀建築概論》。台北市：田園城市。

五、空間專業關鍵字的提供/怎麼讀空間
[美] Pierre Von Meiss 著，吳莉君譯，2017，《建築的元素》。台北市：原點出版。

六、邏輯思考初探 (易讀)
冀劍制，2015，《是思考，還是想太多：寫給年輕人的36堂思考課》。台北市：商周。

七、AI應用相關，迭代快速；於課堂單元提供網路資訊/連結。

1. Text narrative meaning and its connections
[US] "Parables We Live By" by George Lakoff, Mark Johnson, translated and annotated by Zhou Shizhen, 2006. Taipei City: Lianjing.

2. Application of mind mapping in design (analysis + brainstorming)
[Korean] Wen Can, Kim Mi-ja, Shin Hee-kyung, Lim Nam-sook, Lee Sang-hoon, etc., translated by Boshuo Culture, 2011, "Design is about being different: starting from improving the ability to think creatively". New Taipei City: Boshuo Culture.

3. The gap between designers and users
[US] Written by Donald A. Norman, translated by Chen Yixiu, 2014, "The Psychology of Design: How Humanized Product Design Changes the World." Taipei City: Yuanliu.

4. The knowledge structure of the design can be derived from the catalog
Wang Jintang, 1984, "Architectural Design Methodology". Taipei City: Tailong Book Company.
[US] "Introduction to Landscape Architecture" written by Michael Laurie and co-translated by Lin Jingjuan and Qiu Lirong. Taipei City: Garden City.

5. Provision of professional keywords for space/how to read space
[US] "Elements of Architecture" by Pierre Von Meiss, translated by Wu Lijun, 2017. Taipei: Origin Publishing.

6. A preliminary study on logical thinking (easy to read)
Ji Jianzhi, 2015, "Thinking or Thinking Too Much: 36 Thinking Lessons for Young People". Taipei City: Shang and Zhou.

7. AI application related, fast iteration; provide online information/links in classroom units.