SemesterFall Semester, 2025
DepartmentProgram(undergraduate level)
Course NameArtificial Intelligence : Methods and Tools
InstructorCHEN CHAO-LING
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule












































































































週次



Week



課程主題



Couse topic



課程內容與指定閱讀



Couse content and assigned reading



教學活動與作業



Teaching activities and assignments



1



人工智慧發展



AI development



人工智慧應用領域



AI application fields



加分作業



Bonus assignment



2



生成式人工智慧工具(I)



GenAI Tool (I)



文字與影像生成案例



Cases of text and image generation



課堂活動



Activities



3



生成式人工智慧工具(II)



GenAI Tool (II)



影像商用多元生成案例



Cases of business image generation



課堂活動



Activities



課堂作業



Assignment



4



專家演講



Speech



人工智慧議題探討



AI issue discussion



演講



Speech



5



生成式人工智慧工具(Ⅲ)



GenAI Tool (Ⅲ)



動畫與音樂生成案例



Cases of animation and music generation



課堂活動



Activities



課堂作業



Assignment



6



生成式人工智慧工具(IV)



GenAI Tool (IV)



進階影像生成



Advanced image generation



課堂活動



Activities



小組討論



Group discussion



7



生成式人工智慧工具(V)



GenAI Tool (V)



影像生成案例風格比較



Image generation comparison



文案生成



Copy generation



課堂活動



Activities



課堂作業



Assignment



8



期中考週



Matern week



 



 



9



生成式人工智慧工具(VI)



GenAI Tool (VI)



文案生成案例



Case of copy generation



課堂活動



Activities



課堂作業



Assignment



個人書面報告(期中)



Paper presentation



10



專家演講



Speech



 



人工智慧議題探討



AI issue discussion



演講



Speech



11



 



資料類型與蒐集



Data type and collection



機器學習(I)



Machine learning(I)



資料分析(I) 



Data analysis(I) 



智慧體設計:理性智慧體



Agent design: ideal agent



智慧體學習:



SVM機器學習



Agent learning: SVM machine learning



人工智慧大數據分析(I)



AI big data analysis(I) 



課堂活動



Activities



小組報告



Group presentation



12



資料類型與蒐集



Data type and collection



資料分析(II)



Data analysis(II)



智慧體設計:智慧體內部及外部特徵



Agent design: Innor and outer characteristics of an agent



人工智慧大數據分析(II)



AI big data analysis(II) 



課堂活動



Activities



小組報告



Group presentation



13



資料類型與蒐集



Data type and collection



資料分析()



Data analysis(Ⅲ)



智慧體設計:模型



Agent design: models



人工智慧大數據分析()



AI big data analysis(Ⅲ)



課堂活動



Activities



小組報告



Group presentation



14



機器學習(II)



Machine learning(II)



資料分析(IV)



Data analysis (IV)



智慧體學習:學習模型



Agent learning: learning model



人工智慧大數據分析(IV)



AI big data analysis(IV)



課堂活動



Activities



小組報告



Group presentation



15



成果製作



Final work production



生成影像輸出



Image generation output



課堂活動



Activities



16



期末考週



Final week



期末報告



Final presentation



小組成果報告



Group presentation




每週課堂教學時數:3小時;每週預習/複習時數:3小時



Teaching hours per week/ 3 hours; preview/review hours per week: 3 hours


Teaching Methods
Teaching Assistant

蔡安德助教 (TA: Eddie Tsai)


Requirement/Grading

期中書面報告20%, 作業40%(課堂工具操作練習,4個作業各10%)期末小組口頭報告30%出缺席10%



本課程為人工智慧工具操作適合全校非資訊背景學生修習



本課程可使用生成式AI工具(完全開放)



本課程可認列AI學程學分



Midterm paper presentation 20%, assignments 40% (tool practice in class, 4 assignments and each assignment 10%), final group oral presentation 30%, attendance 10%



The course practices AI tools and is suitable for students without information background from different departments.    



GenAI tool available (Complete)



The course can be recognized as graduation credits of Bachelor Program in Artificial Intelligence Applications.



 


Textbook & Reference

Artificial Intelligence: A Modern Approach (4th), Stuart Russell and Peter Norvig, Pearson, 2021


Urls about Course
Attachment