114年第1學期-1169 商業AI工具 :高效使用ChatGPT溝通 課程資訊

評分方式

評分項目 配分比例 說明
Attendance and class paticipation 30 Students are required to attend class
Assignments 30
Final exam/presentation 40

選課分析

本課程名額為 30人,已有26 人選讀,尚餘名額4人。


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授課教師

金泰星

教育目標

Prompt engineering is crafting precise, context-rich inputs to large language models such as ChatGPT/咚咚妞 to generate useful, accurate, and relevant outputs. It is important because well-designed prompts unlock the full potential of AI, enabling businesses to automate analyses, drive insights, and enhance decision-making. By the end of this course, students will be able to explain the fundamental principles and components of prompt engineering and how large language models interpret and generate responses. They will develop the skills to design clear, specific, and context-rich prompts tailored to key business-management scenarios such as marketing, finance, operations, and human resources. Through hands-on practice and iterative refinement, students will learn to evaluate the quality of AI outputs, identify biases or errors, and implement strategies for continuous prompt optimization. They will integrate prompt-driven workflows into real-world business processes, confidently automating routine analyses and report generation. Finally, students will demonstrate responsible and ethical use of AI by recognizing potential risks, ensuring data privacy, and establishing guardrails to mitigate bias in their applications.

課程資訊

參考書目

There is no single textbook that fits this course. Supporting lecture notes and supplemental material for in-class discussions are to be distributed following the progress of the course.

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