基本素養 Basic Literacy

倫理道德觀與社會責任
學生應具備良好倫理道德觀與正確之社會責任觀
Ethic & Social Responsibility
Students should possess ethic and social responsibility.
國際觀
學生應具備良好的國際觀
Global Awareness
Students should possess a global perspective.

核心能力 Competence

口語表達/ 簡報能力
學生應具備良好之口語表達及簡報能力
Oral Communication/ Presentation
Students should be able to communicate effectively verbally and in presentation.
寫作能力
學生應具備良好之寫作能力
Written Communication
Students should be able to communicate effectively in writing.
創新能力
學生應具備創造及創新之能力
Creativity and Innovation
Students should demonstrate creativity and innovation skills.
解決問題能力
學生應具備解決問題之能力
Problem Solving Skills
Students should be able to solve strategic problems.
分析能力
學生應具備良好的分析能力
Analytical Skills
Students should demonstrate analytical skills.
領導能力
學生應具備良好領導能力
Leadership
Students should demonstrate leadership skills demanded of a person in authority.
批判能力
學生應具備良好的批判能力
Critical Thinking
Students should possess critical thinking skills.
專業技能
學生應具備良好的專業態度與技能
Values, Skills & Professionalism
Students should possess the necessary skills and values demanded of a true professional.
資訊科技能力
學生應具備資訊科技能力
Information Technology
Students should possess information technology skills.
管理能力
學生應具備良好的管理能力
Management Skills
Students should possess management skills.

課程概述 Course Description

就管理的觀點,數量方法論(Quantative Methodology)乃以管理數學與計量為據,對企業經營所面對經濟現象或管理問題,透過邏輯推理加以驗證與分析的一套科學。在企業管理的領域,數量方法的探討大致集中於(1)作業研究OR(2)系統分析或系統模擬,System Analysis of Simulation及(3)計量經濟分析(Econometric Analysis)。
1 Introduction 2 Introduction to Quantitative Analysis 3 Probability Concepts and Applications 4 Decision Analysis 5 Factor Analysis 6 Regression Models 7 Logistic Analysis 8 Survival Analysis 9 Research Presentation 1 10 Forecasting 11 Linear Programming Models 12 Linear Programming Applications 13 Transportation, Assignment, and Network Models 14 Integer Programming, Goal Programming, and Nonlinear Programming 15 Project Management 16 Waiting Lines and Queuing Theory Models 17 Research Presentation 2 18 Research Presentation 3

課程學習目標 Course Objectives

  • Using proper quantitative analysis methods to backup the decision making process
  • Learning software to deal with large datasets
  • Training the students to make a quantitative report reasonably and precisely
  • 課程進度 Progress Description

    進度說明 Progress Description
    1Introduction to Quantitative Analysis
    2Probability Concepts and Applications
    3Hypothesis
    4Off
    5Off
    6Decision Analysis
    7Factor Analysis
    8Regression Models Article 1
    9Logistic Analysis Article 2
    10Survival Analysis Article 3
    11Forecasting Article 4
    12Linear Programming Models Article 5
    13Linear Programming Applications Article 6
    14Transportation, Assignment, and Network Models Article 7
    15Project Management Article 8
    16Waiting Lines and Queuing Theory Models
    17OFF
    18Final Exam
     以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

    有關課程其他調查 Other Surveys of Courses

    1.本課程是否規劃業界教師參與教學或演講? 否
    Is there any industry specialist invited in this course? How many times? No
    2.本課程是否規劃含校外實習(並非參訪)? 否
    Are there any internships involved in the course? How many hours? No
    3.本課程是否可歸認為學術倫理課程? 否
    Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
    4.本課程是否屬進入社區實踐課程? 否
    Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No

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    2020- quantitative methods for management_syllabus.pdf