基本素養 Basic Literacy

領導能力
學生應具備領導其他專長同仁解讀數據的才能
Leadership
Undergraduate students should develop leadership skills required of a person in a leading position
倫理及社會責任
學生需有自我學習的的意願及能力,並積極參與活動以擴大其社交網絡
Ethic & Social Responsibility
Undergraduate students should demonstrate ethical awareness in learning and in social networking
全球化視野
同學需適時的掌握現在國際間情勢的更替,並理解全球化的趨勢
Global Awareness
Undergraduate students should possess a global perspective and an awareness of the effects of globalization

核心能力 Competence

口頭溝通及表達能力
學生應具備基本的口語表達能力,能迅速的將事情完整地表達出來
Oral Communication/ Speaking
Undergraduate students should be able to communicate effectively in speaking.
寫作表達能力
學生應具備基本的寫作表達能力,能迅速的將事情完整地表達出來
Written Communication/Writing
Undergraduate students should be able to communicate effectively in writing.
創造及創新能力
同學需要有能力依據不同型態地問題及資料將所學做有效的及創新的整合以利問題的解決
Creativity and Innovation
Undergraduate students should be able to solve strategic problems with creative and innovative approaches
解決問題能力
同學需要有能力依據不同型態地問題及資料將所學做有效的及創新的整合以利問題的解決
Problem Solving
Undergraduate students should be able to solve strategic problems with creative and innovative approaches
分析及計算能力
同學需要有能力依據不同型態地問題及資料將所學做有效的及創新的整合以利問題的解決
Analytical & Computational Skills
Undergraduate students should be able to solve strategic problems with creative and innovative approaches
價值、技巧及專業度
學生能在其工作崗位上,貢獻其所學在統計分析上之專業知識,以冀望能取得在職場上對其統計專業的認同
Values, Skills & Professionalism
Undergraduate students should acquire the skills and values required of a true professional
專業能力
學生能在其工作崗位上,貢獻其所學在統計分析上之專業知識,以冀望能取得在職場上對其統計專業的認同
Technical Skills
Undergraduate students should acquire the skills and values required of a true professional
管理技巧
學生能在其工作崗位上,貢獻其所學在統計分析上之專業知識,以冀望能取得在職場上對其統計專業的認同
Management Skills
Undergraduate students should acquire the skills and values required of a true professional

課程概述 Course Description

統計學之意義與應用、統計資料之搜集及圖表、敘述統計、基本機率概念、期望值、機率分配、抽樣分配、平均數之推論、變異數之推論、比率之推論、變異數分析、相關與迴歸、時間數列分析。

課程學習目標 Course Objectives

  • master the basic statistical methods in analyzing,
  • and interpreting the collected data.
  • to be capable of presenting the information contained in the data.
  • 課程進度 Progress Description

    進度說明 Progress Description
    1Normal distribution
    2Some sampling distributions : I
    3sampling distributions : II
    4Weak law of arge numbers and Central limit theorem
    5Large sample distribution
    6Inference based on one Sample : Confidence intervals
    7Inference based on one Sample : Tests of hypotheses
    8Inference based on two Samples : Confidence intervals and tests of hypotheses
    9Large sample confidence intervals and hypothesis testing
    10Analysis of variance
    11Categorical data analysis
    12Simple linear regression
    13Multiple regression
    14Multiple regression: model building
    15Multiple regression: diagnostics
    16ANOVA and regression
    17Nonparametric statistics
    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