5815 - 人工智慧與數位創新專題

Special Topics in Artificial Intelligence and Digital Innovation

教育目標 Course Target

本課程涵蓋AI背景知識與模型理論建立、AI技術實作以及AI創新應用實例分享。
期望一學期後學生能夠：

1具備AI相關背景與理論知識
2透過AI應用實例演練強化實作能力
3專研AI相關論文並提出獨到見解與開創思維
4針對特定AI問題選擇適切的數學模型表述之

This course covers AI background knowledge and model theory establishment, AI technology implementation, and sharing of AI innovative application examples.
It is expected that after one semester students will be able to:

1. Possess AI-related background and theoretical knowledge
2 Strengthen implementation capabilities through AI application example drills
3Specialize in researching AI-related papers and put forward unique insights and innovative thinking
4. Choosing appropriate mathematical model expressions for specific AI problems

參考書目 Reference Books

1. Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). Deep Learning. MIT Press.
2.自編教材及相關論文

1. Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). Deep Learning. MIT Press.
2. Self-edited teaching materials and related papers

評分方式 Grading

評分項目
Grading Method		 配分比例
Percentage		 說明
Description
平時成績
usual results
 10
課堂練習與作業
Class exercises and assignments
 25
期中報告
interim report
 25
期末專題與報告
Final topics and reports
 40

授課大綱 Course Plan

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課程資訊 Course Information

基本資料 Basic Information
  • 課程代碼 Course Code: 5815
  • 學分 Credit: 3-0
  • 上課時間 Course Time:
    Wednesday/5,6,7[C103]
  • 授課教師 Teacher:
    李政雄
  • 修課班級 Class:
    數創碩學程1,2
  • 選課備註 Memo:
    五年一貫同學請至系辦（C207）辦理人工加選
選課狀態 Enrollment Status
目前選課人數 Current Enrollment: 9 人
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