| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 3723070 | 人工智慧跨域大數據分析之應用 | AI Applications in Big Data Analytics | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程將使用時下最新生成式人工智慧工具介紹人工智慧原理及其於大數據分析及智慧計算之應用，進行數據預處理，建立並優化訓練模型。課程內容包括監控生產線上各種數據，如產品品質、生產效率等。通過即時警報和提示，幫助管理人員快速識別並解決問題。藉由學習和分析過往的故障記錄和維修日誌，預測和診斷產設備，提供相應的維護建議。幫助企業實現定期維護和檢修，從而減少設備故障率和生產停機時間。進行自動識別和分類缺陷，並提供改進建議，從而提高產品品質和生產效率。 | |||
| 英文概述 English Description | This course makes use of the state-of-the-art (SOTA) tools of generative artificial intelligence (AI) to introduce the principles of artificial intelligence and its applications in big data, including data preprocessing, model building, and AI model hyper-parameterization. The course focuses on various types of production-related data. By monitoring shop floor real-time data, production engineers may quickly identify and resolve abnormalities. By learning and analyzing past failure records and maintenance logs, the system may predict and diagnose production errors and provide predictive schedules for equipment maintenance. It helps companies to find a better balance between equipment failure occurrence and production scheduled downtime. The course includes applications in automatic pattern identification, recognition, and classification to assist decision-makers in improving product quality and production efficiency. | |||
| 核心能力指標 | 1.運用數學、科學、工程知識與資訊科技的能力 2.規劃、發展、執行與改進作業流程與資訊系統的能力 3.結合理論與實務，發掘、陳述、分析並解決問題的能力 | |||
備註：