課程內容主題包括：大數據與資料分析（Big Data Analysis）、政府開放資料（Open Data）、人工智慧的概念與應用、KNIME的應用等，期待引領學生進入人工智慧、問題解決與決策分析的理論與實務殿堂，提供學生一場域，藉由分析平台為工具、以議題為導向、結合跨領域專長的專題形式，學習有關人工智慧、大數據資料科學與循證(evidence-based)公共決策結合的基礎概念、與相關技術等，也為同學將來成為資料科學家做準備。The subjects of the course include: Big Data Analysis and Government Open Data Data), the concept and application of artificial intelligence, the application of KNIME, etc., we look forward to leading students into the theories and practice halls of artificial intelligence, problem solving and decision analysis, and provide students with a field, using the analysis platform as a tool and question-based approach. Combining specialized forms across fields, learning basic concepts and related technologies that combine artificial intelligence, large-data data science and evidence-based public decision-making, is also a preparation for students to become data scientists.
1.鴻海教育基金會，2019，人工智慧導論，台北市：全華圖書。
2.中、英文書籍與期刊論文、其他講義。
1. Dunghai Education Foundation, 2019, Artificial Intelligence Discussion, Taipei City: All-China Book.
2. Chinese and English books, journals, and other statements.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 上課參與和討論上課參與和討論 Participate in and discuss in class |
20 | |
| 實例分享實例分享 Example sharing |
20 | 課堂討論與案例分析：每週選取當前與AI在公共行政領域相關的新聞或案例，進行小組討論和全班分享。 |
| 相關文獻檢閱（口頭10%；書面20%）相關文獻檢閱（口頭10%；書面20%） Related Document Review (10% of mouth; 20% of book) |
30 | |
| AI實作專題（口頭10%；書面20%）AI實作專題（口頭10%；書面20%） AI practice topics (10% mouth; 20% book) |
30 | 針對特定的AI應用案例進行研究，並提出創新的解決方案。 |
