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Taught In English0571 - Generative AI Presentation and Communication Generative AI Presentation and Communication


教育目標 Course Target

• Develop a foundational understanding of generative artificial intelligence, with a focus on large language models (LLMs) and their underlying principles. • Explore the landscape of AI-enhanced presentation tools and their applications in academic and professional settings. • Apply generative AI technologies to support research activities, including content development, synthesis of information, and idea generation. • Examine contemporary applications of AI in domains such as sustainability, green energy, environmental science, and chemistry, with attention to emerging trends and future directions. • Learn to design and deliver compelling presentations by integrating GenAI-generated text, visuals, audio, and video content. • Enhance clarity, coherence, and persuasiveness in written and spoken communication through the strategic use of AI tools. • Critically evaluate the ethical considerations surrounding the use of generative AI in communication, including issues of authorship, transparency, and bias. • Analyze real-world case studies to understand practical implementations and best practices in GenAI-supported communication. • Investigate future developments in generative AI and their potential impact on communication practices across disciplines. • Develop a foundational understanding of generalized artistic intelligence, with a focus on large language models (LLMs) and their underlying principles. • Explore the landscape of AI-enhanced presentation tools and their applications in academic and professional settings. • Apply generalive AI technologies to support research activities, including content development, synthesis of information, and idea generation. • Examine contemporary applications of AI in domains such as sustainability, green energy, environmental science, and chemistry, with attention to emerging trends and future directions. • Learn to design and deliver compelling presentations by integrating GenAI-generated text, visuals, audio, and video content. • Enhance clarity, coherence, and persuasiveness in written and spoken communication through the strategic use of AI tools. • Critically evaluate the ethical considerations surrounding the use of generalized AI in communication, including issues of authorship, transparency, and bias. • Analyze real-world case studies to understand practical implementations and best practices in GenAI-supported communication. • Investigate future developments in generalive AI and their potential impact on communication practices across disciplines.


參考書目 Reference Books

1.S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Pearson Series, 4th Eds., 2021.
2.Bernard Marr, Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society,1st Edition, Wiley, 2024.
3.Valentina Alto, Practical Generative AI with ChatGPT, 2nd ed. Edition, Packet Publishing, 2025.
4.Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans, Picador, 2019.
5.David Foster, Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, O’Reilly Media, 2019.
6.C.C. Aggarwal, Neural Networks and Deep Learning, Springer, 2023.

1.S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Pearson Series, 4th Eds., 2021.
2.Bernard Marr, Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society,1st Edition, Wiley, 2024.
3.Valentina Alto, Practical Generative AI with ChatGPT, 2nd ed. Edition, Packet Publishing, 2025.
4.Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans, Picador, 2019.
5. David Foster, Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, O’Reilly Media, 2019.
6.C.C. Aggarwal, Neural Networks and Deep Learning, Springer, 2023.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
In-Class Participation, Study AttitudeIn-Class Participation, Study Attitude
In-Class Participation, Study Attitude
15 In-Class Participation, Study Attitude (discussion and project critiques)
AssignmentsAssignments
Assignments
25 Take home assignments or online quizzes
Mid term ExamMid term Exam
Mid term Exam
20 Mid term Exam
Final Project & PresentationFinal Project & Presentation
Final Project & Presentation
40 Final Project & Presentation

授課大綱 Course Plan

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相似課程 Related Course

選修-2836 [Taught in English] Generative AI Presentation and Communication / Generative AI Presentation and Communication (永續學程1-4,授課教師:王中行,三/3,4[M007])

Course Information

Description

學分 Credit:2-0
上課時間 Course Time:Wednesday/3,4[電腦教室]
授課教師 Teacher:王中行
修課班級 Class:化學系1-4
選課備註 Memo: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。
This Course is taught In English 授課大綱 Course Plan: Open

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