6641 - 大數據與決策專題

Big Data and Policy-making

教育目標 Course Target

「開放式創新」之核心概念就是突破組織以往封閉的疆界,從外界引進更多、更豐富的創新元素與能量;同時將組織內閒置的創意與創新分享出去,促進創新的流動與分享。從開放式創新的觀點來說,近年來公部門推動的「開放政府」(Open Government)、「開放資料」(Open Data)等作法,透過政府資料開放平台,鼓勵社會公眾利用這些資料進行分析應用,就相當符合開放式創新的概念,也產生了不少創新而深具價值的研究結果,相關做法帶動公務機關突破現有組織運作的框架,產生更為多元創新的思維,解決了很多過去無法解決的問題。
本課程主要希望能夠由大數據、開放政府、開放資料的應用的出發,刺激同學們有創新的觀點,並提供相關的工具與方法,讓學員能靈活運用在工作和生活中,以提升個人與組織的創新思考、問題解決能力與決策能力,並能應用所學於推動創新服務,以提升施政滿意度,並提升全民之福祉。

The core concept of "open innovation" is to break through the previously closed boundaries of the organization and introduce more and richer innovation elements and energy from the outside world; at the same time, it shares idle creativity and innovation within the organization to promote the flow and sharing of innovation. From the perspective of open innovation, the “Open Government” and “Open Data” initiatives promoted by the public sector in recent years Data) and other practices, through the government data open platform, encourage the public to use these data for analysis and application, which is quite consistent with the concept of open innovation, and has also produced many innovative and valuable research results. Related practices have driven public agencies to break through the existing organizational operation framework, generate more diverse and innovative thinking, and solve many problems that could not be solved in the past.
This course mainly hopes to stimulate students to have innovative perspectives based on the application of big data, open government, and open information, and provide relevant tools and methods that students can use flexibly in work and life to improve the innovative thinking, problem-solving and decision-making abilities of individuals and organizations, and apply what they have learned to promote innovative services to improve governance satisfaction and enhance the well-being of all people.

參考書目 Reference Books

本課程將閱讀幾本關於大數據與決策,但較為深入淺出的書籍,如大數據時代、哈佛教你精通大數據、機器平台群眾、邊緣商機等。
另外並以個案與文章的討論,協助同學們理解大數據及其可能的應用。

This course will read several books about big data and decision-making that are relatively in-depth and easy-to-understand, such as Big Data Era, Harvard Teach You to Master Big Data, Machine Platform Crowds, Edge Business Opportunities, etc.
In addition, discussions of cases and articles are used to help students understand big data and its possible applications.

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
小組期末報告
Final report of the group
40
平時作業(個人)
Daily homework (personal)
30
出席率
Attendance
10
課堂參與及發言
Class participation and speech
20

授課大綱 Course Plan

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相似課程 Related Courses

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課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 6641
  • 學分 Credit: 2-0
  • 上課時間 Course Time:
    Tuesday/10,11
  • 授課教師 Teacher:
    許書銘
  • 修課班級 Class:
    公共專班1,2
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 5 人

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