| 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 |
|---|---|---|---|---|
| 5605096 | 人工智慧的基礎與創新(二) | Foundations and Advances in Artificial Intelligence II | 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。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，並提供了相關領域的案例研究和實習操作。 課程運作模式：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。學生可根據課程選擇進階專題研究，深入探討特定主題並提交最終報告。最後三週專題研究將被評估並可獲得額外獎勵，學生可在學期中向授課教師報名參與專題研究。 | |||
| 英文概述 English Description | Course Overview: 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. The course also introduces the latest trends in AI technology, including attention mechanisms, self-supervised learning, large-scale AI models, and meta-learning, and provides case studies and hands-on exercises in related areas. Course Execution: Participants will engage in classroom discussions and group activities to facilitate idea exchange and knowledge sharing. Students may choose to undertake advanced research projects on specific topics of course and submit final reports. The final three weeks of research projects will be assessed and eligible for additional rewards. Students can sign up for research projects with the course instructor during the semester. | |||
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