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行政管理暨政策學系
course information of 114 - 1 | 1871 Machine Learning in Public Affairs(機器學習與公共事務應用)

1871 - 機器學習與公共事務應用 Machine Learning in Public Affairs


教育目標 Course Target

隨著人工智慧和機器學習技術的快速發展和應用,這些技術正在深深地改變公共領域的行政管理方式和政策制定過程。在這門課程中,將討論如何利用機器學習(Machine Learning, ML)的技術來解決公共事務的問題。課程將涵蓋機器學習的基本原理,包含如何設計、實施和評估機器學習模型。並將探討這些技術在公共政策、公共服務和行政決策等公共事務領域的具體應用。 課程將透過案例研究和實際專案,讓學生理解如何在公共事務中應用機器學習。學生將學習使用二種常見的工具和平台設計和執行他們自己的機器學習模型,以解決真實世界中的公共事務問題。 With the rapid development and application of artificial intelligence and machine learning technologies, these technologies are deeply changing the administrative management methods and policy-making processes in the public domain. In this course, machine learning (ML) techniques will be discussed to solve public affairs problems. The course will cover the basic principles of machine learning, including how to design, implement and evaluate machine learning models. The specific application of these technologies in public affairs areas such as public policy, public services and administrative decisions will be explored. The course will be conducted through case studies and actual projects to allow students to understand how to apply machine learning in public affairs. Students will learn to use two common tools and platforms to design and execute their own machine learning models to solve public affairs problems in the real world.


參考書目 Reference Books

1.鴻海教育基金會,2019,人工智慧導論,台北市:全華圖書。
2.跨領域學 Python:資料科學基礎養成。施威銘研究室,臺北市:旗標,2020/11。
3.中、英文書籍與期刊論文、其他講義。

1. Dunghai Education Foundation, 2019, Artificial Intelligence Discussion, Taipei City: All-China Book.
2. Cross-domain learning Python: Basic cultivation of data science. Shiweishan Research Office, Taipei City: Flagmark, 2020/11.
3. Chinese and English books, journals, and other statements.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
作業與出席作業與出席
Work and attendance
20
專案實作一--以Python程式語言(書面報告)專案實作一--以Python程式語言(書面報告)
Project Implementation One--In Python Programming Language (Written Report)
30
專案實作二--以KNIME分析平台(書面報告)專案實作二--以KNIME分析平台(書面報告)
Project Implementation 2---KNIME Analysis Platform (Written Report)
30
任一專案實作之口頭報告任一專案實作之口頭報告
Oral report of any project creation
20

授課大綱 Course Plan

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Thursday/6,7,8
授課教師 Teacher:項靖
修課班級 Class:文學院2,中文系2,外文系2
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授課大綱 Course Plan: Open

選課狀態 Attendance

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目前選課人數為 35 人。

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