113年第1學期-2836 Generative AI Presentation and Communication 課程資訊
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
In-Class Participation, Study Attitude | 20 | In-Class Participation, Attitude (discussion and project critiques) |
Assignments | 30 | Six take home assignments or online quizzes |
Mid term Exam & Presentation | 20 | Mid term Exam & Presentation |
Final Project & Presentation | 30 | Final Project & Presentation |
選課分析
本課程名額為 30人,已有30 人選讀,尚餘名額0人。
登入後可進行最愛課程追蹤 [按此登入]。
授課教師
王中行教育目標
• Introduction to Generative AI and LLMs
• Overview of AI-assisted presentation tools
• Using AI for research and content generation
• Crafting engaging presentations with AI
• Enhancing written communication with AI tools
• Ethical use of AI in presentations and communication
• Case studies and real-world applications
• Future trends in AI and communication
課程資訊
基本資料
選修課,學分數:2-0
上課時間:三/3,4[M023]
修課班級:永續學程1-4
修課年級:1年級以上
選課備註:與化學系0571課程併班上課。教室安排第二校區電腦教室。
教師與教學助理
授課教師:王中行
大班TA或教學助理:尚無資料
Office HourBy appointment
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
1. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Pearson Series, 4th Eds., 2021.
2. Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans, Picador, 2019.
3. David Foster, Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, O’Reilly Media, 2019.
4. C.C. Aggarwal, Neural Networks and Deep Learning, Springer, 2023.
開課紀錄
您可查詢過去本課程開課紀錄。 Generative AI Presentation and Communication歷史開課紀錄查詢