113年第1學期-0571 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

教育目標

• Introduction to Generative AI and LLMs • Overview of AI-assisted presentation tools • Using AI for research and content generation • AI in chemistry – current trends and future • Sustainable chemistry and process – Convergence AI, data and hardware • 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

基本資料

選修課，學分數：2-0
上課時間：三/3,4[M023]
修課班級：化學系1-4
修課年級：1年級以上
選課備註：英語授課。永續學程2836課程併班。上課地點：第二校區電腦教室。

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.