5568 - 資料科學與人工智慧導論

Introduction to Data Science and Artificial Intelligence

教育目標 Course Target

To equip the students with the knowledge and techniques of data science and basic of artificial intelligence to handle real world problems and their research.

To equip the students with the knowledge and techniques of data science and basic of artistic intelligence to handle real world problems and their research.

參考書目 Reference Books

1. Raschka, S., Liu, Y. H., Mirjalili, V., & Dzhulgakov, D. (2022). Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python. Packt Publishing Ltd.
2. 製造數據科學：邁向智慧製造與數位決策. (2023). 李家岩、洪佑鑫, 前程文化.
3. Self-designed Handouts

1. Raschka, S., Liu, Y. H., Mirjalili, V., & Dzhulgakov, D. (2022). Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python. Packt Publishing Ltd.
2. Manufacturing data science: Mi’s move towards smart manufacturing and digital decisions. (2023). Li Jiayan, Hong Youxin, Qiancheng Culture.
3. Self-designed Handouts

評分方式 Grading

評分項目
Grading Method		 配分比例
Percentage		 說明
Description
Midterm Project
Midterm Project
 20
Final Project
Final Project
 20
Assignment
Assignment
 20
Participation
Participation
 20
Kaggle competition
Kaggle competition
 20

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: 5568
  • 學分 Credit: 3-0
  • 上課時間 Course Time:
    Wednesday/2,3,4[IEⅡ102]
  • 授課教師 Teacher:
    黃鼎翔
  • 修課班級 Class:
    工工碩1
  • 選課備註 Memo:
    GE6102
選課狀態 Enrollment Status
目前選課人數 Current Enrollment: 17 人
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