查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

109-1 278932 統計學(一)實習 1 1.0 2 ▲ 朴維鎮工管二丙 46 1 　

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
109-1	278932	統計學(一)實習	1	1.0	2	▲	朴維鎮	工管二丙	46	1

教學大綱與進度：

教師姓名朴維鎮

Email eugenepark993@gmail.com

最後更新時間 2020-06-08 12:07:43

課程大綱 The purpose of this course is to train student and to provide a background in the theory and methodology of general statistical issues. Topics include: probability theory, inference, hypothesis testing, and regression analysis.

課程進度 Week 1 Introduction to statistics, data Summary, and presentation Week 2 Probability, Bayesian theorem, correlation Week 3 Random variables and probability distributions – Random variables, probability Week 4 Random variables and probability distributions – Continuous random variables Week 5 Random variables and probability distributions – Discrete random variables Week 6 Decision making for a single sample – Estimation, hypothesis testing Week 7 Decision making for a single sample – Inference on the mean of a population Week 8 Quiz, independent Study Week 9 Midterm exam (In-class, 1 Cheat Sheet, Calculator) Week 10 Decision making for a single sample – Inference on the variance of a normal population Week 11 Decision making for a single sample – Inference on a population proportion, goodness of fit test Week 12 Decision making for two samples – Inference on the means of two populations (Part I) Week 13 Decision making for two samples – Inference on the means of two populations (Part II) Week 14 Decision making for two samples – Paired t-test, inference on the ratio of variances of two normal populations Week 15 Decision making for two samples – Inference on two population proportions Week 16 Building Empirical Models – Simple Linear Regression Week 17 Quiz, independent Study Week 18 Final exam

評量方式與標準 Midterm Exam: 30 % Final Exam: 40 % Assignments: 20 % Attendance: 10 %

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Engineering Statistics (5th Ed., Wiley) by Montgomery, Runger, and Hubele (ISBN: 978-0-324-59433-1)

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課程對應SDGs指標

備註

教師姓名	朴維鎮
Email	eugenepark993@gmail.com
最後更新時間	2020-06-08 12:07:43
課程大綱	The purpose of this course is to train student and to provide a background in the theory and methodology of general statistical issues. Topics include: probability theory, inference, hypothesis testing, and regression analysis.
課程進度	Week 1 Introduction to statistics, data Summary, and presentation Week 2 Probability, Bayesian theorem, correlation Week 3 Random variables and probability distributions – Random variables, probability Week 4 Random variables and probability distributions – Continuous random variables Week 5 Random variables and probability distributions – Discrete random variables Week 6 Decision making for a single sample – Estimation, hypothesis testing Week 7 Decision making for a single sample – Inference on the mean of a population Week 8 Quiz, independent Study Week 9 Midterm exam (In-class, 1 Cheat Sheet, Calculator) Week 10 Decision making for a single sample – Inference on the variance of a normal population Week 11 Decision making for a single sample – Inference on a population proportion, goodness of fit test Week 12 Decision making for two samples – Inference on the means of two populations (Part I) Week 13 Decision making for two samples – Inference on the means of two populations (Part II) Week 14 Decision making for two samples – Paired t-test, inference on the ratio of variances of two normal populations Week 15 Decision making for two samples – Inference on two population proportions Week 16 Building Empirical Models – Simple Linear Regression Week 17 Quiz, independent Study Week 18 Final exam
評量方式與標準	Midterm Exam: 30 % Final Exam: 40 % Assignments: 20 % Attendance: 10 %
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Engineering Statistics (5th Ed., Wiley) by Montgomery, Runger, and Hubele (ISBN: 978-0-324-59433-1)
課程諮詢管道
課程對應SDGs指標
備註