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。
登入後可進行最愛課程追蹤 [按此登入]。
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
基本資料
選修課,學分數:3-0
上課時間:一/6,7,8[M217]
修課班級:共選修1-4(管院開)
修課年級:1年級以上
選課備註:全英授課,開放全校學生修習,限30人。
教師與教學助理
授課教師:金泰星
大班TA或教學助理:尚無資料
Office HourBy Prior Appointment for Meeting Time and Venue.
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
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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