| 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 |
|---|---|---|---|---|
| 5605095 | 人工智慧的基礎與創新(一) | Foundations and Advances in Artificial Intelligence I | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程深入探討人工智慧領域的基礎知識和最新技術，包括機器學習、深度學習、自然語言處理、生成對抗網絡等領域。學員將從人工智慧的概述和歷史開始，逐步深入了解機器學習和深度學習的基礎概念和演算法，並探討其在不同領域的應用。課程還介紹了最新的AI技術趨勢，包括注意力機制、自監督學習、大型AI通用模型和元學習等。 課程運作模式：每週講授一個主題，包括理論授課和實習操作。學員將參與課堂討論和小組活動，以促進想法交流和知識分享。 | |||
| 英文概述 English Description | This course delves into the fundamentals and latest advancements in the field of artificial intelligence, covering topics such as machine learning, deep learning, natural language processing, and generative adversarial networks. Participants will begin with an overview of artificial intelligence and its historical development, progressively delving into the foundational concepts and algorithms of machine learning and deep learning, along with their applications across various domains. The course also introduces the latest trends in AI technology, including attention mechanisms, self-supervised learning, large-scale AI models, and meta-learning. Course Execution: Each week covers a specific topic, including theoretical lectures and practical exercises. Participants will engage in classroom discussions and group activities to facilitate idea exchange and knowledge sharing. | |||
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