101年第2學期-5428 統計學方法 課程資訊
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
Midterm Exam/Project (30%) | 30 | |
Final Exam/Project (30%) | 30 | |
Ongoing (Part I) | 20 | includes homework assignment and class attendance& participation |
選課分析
本課程名額為 20人,已有5 人選讀,尚餘名額15人。
登入後可進行最愛課程追蹤 [按此登入]。
授課教師
林雅俐教育目標
要成為一位優秀的研究人員,首要具備獨立思考的能力, 統計學這門課協助妳/你擁有量化研究之專業能力,藉由專業的統計方法和知識,將數據轉換為有用的資訊,探討日常生活中無所不在的統計,以及如何正確使用統計,並利用統計進行決策判斷,協助改善資訊呈現介面和資訊管理的方式,瞭解資訊產品的使用者群體,並設計以使用者為中心之資訊系統,在龐大的資料流中,有效率的進行有用資料之探勘和採礦,並在統計學的學習過程中逐漸培養妳/你的國際觀和思考判斷等競爭力.
Independent thinking is a key component in your development as an excellent researcher. Only part of this development is accomplished in your preparation of a thesis/dissertation. Successful grant writing requires a certain degree of critical thinking, independent thinking, and last but not least, organization. The purpose of this courses are to assist you in this development. We have three specific aims:
� to provide an overview of statistical vocabulary
� to describe statistical methodology and interpretation and
� to introduce statistical computing techniques (EXCEL/SPSS)
課程概述
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the natural and social sciences to the humanities, government and business. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and are then used to draw inferences about the process or population being studied; this is called inferential statistics. Both descriptive and inferential statistics comprise applied statistics. There is also a discipline called mathematical statistics, which is concerned with the theoretical basis of the subject.
課程資訊
基本資料
選修課,學分數:0-3
上課時間:三/5,6,7
修課班級:工設碩1
修課年級:年級以上
選課備註:
教師與教學助理
授課教師:林雅俐
大班TA或教學助理:尚無資料
Office HourOffice hour: 10:00—12:00 (W2&W3)
M449(第二教學區管理學院)
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
1. 邱皓政,量化研究與統計分析—SPSS資料分析範例,五南圖書股份有限公司,2010年10月五版.
2. Field, A. (2009), Discovering Statistics using SPSS, 出版社:華泰文化, 出版日期:2009年07月21日, ISBN:9781847879073.
開課紀錄
您可查詢過去本課程開課紀錄。 統計學方法歷史開課紀錄查詢