本課程討論人工智慧技術與目前景觀規劃設計的可能結合。
內容分為三大部分：
1. 景觀評估基礎理論閱讀：景觀評估主要的內容包括環境特徵的量測及使用者的評價，此兩部分是目前人工智慧技術有可能結合的內容。
2. 影像分析:影像分析的人工智慧技術可快速的進行環境特徵之量測，本課程中將討論影像分類與語意分割兩種技術。
3. 社群媒體資料爬取與分析:網路上的社群媒體藏有大量的評價資訊，如何爬取，如何分析，是本單元要介紹的內容。
This course discusses the possible combination of artificial intelligence technology and current landscape planning design.
The content is divided into three parts:
1. Basic theory of landscape evaluation: The main content of landscape evaluation includes the measurement of environmental characteristics and user evaluation. These two parts are content that can be combined by current artificial intelligence technology.
2. Image analysis: The artificial intelligence technology of image analysis can quickly measure environmental characteristics. In this course, two technologies will be discussed: image classification and verbal division.
3. Social media data crawling and analysis: Social media on the Internet hides a large amount of evaluation information. How to crawl and analyze it is the content that this unit wants to introduce.
自編教材
Self-edited textbooks
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中報告期中報告 Midterm Report |
20 | |
| 期末報告期末報告 Final report |
30 | |
| 作業作業 Action |
40 | |
| 平時成績平時成績 Regular achievements |
10 |
