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

108-2 272083 統計學(二)實習 1 1.0 2 ▲ 朴維鎮工管二丙 52 0 電腦教室/實習

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
108-2	272083	統計學(二)實習	1	1.0	2	▲	朴維鎮	工管二丙	52	0	電腦教室/實習

教學大綱與進度：

教師姓名朴維鎮

Email eugenepark993@gmail.com

最後更新時間 2020-02-13 14:58:28

課程大綱 The purpose of this course is to train the students who can be familiar with the statistics approaches and theories. Besides, they will be able to employ the collected data to analyze the unknown environments. The course includes probability theory, testing, regression analysis and variance analysis.

課程進度 Week 1 Introduction to probability distribution, sampling distribution, and estimation Week 2 Decision making for a single sample – Estimation, hypothesis testing, inference on the mean of a population Week 3 Decision making for a single sample – Inference on the variance of a normal population, inference on a population proportion, goodness of fit test Week 4 Decision making for two samples – Inference on the means of two populations, paired t-test Week 5 Decision making for two samples – Inference on the ratio of variances of two normal populations, inference on two population proportions Week 6 Simple linear regression – Part I Week 7 Simple linear regression – Part II Week 8 Other aspects of simple linear regression Week 9 Midterm exam (In-Class, 1 Cheat Sheet, Calculator) Week 10 Multiple linear regression – Part I Week 11 Multiple linear regression – Part II Week 12 Other aspects of multiple linear regression Week 13 Factorial design, replication, center points – Part I Week 14 Factorial design, replication, center points – Part II Week 15 Blocking, confounding, fractional factorial designs X-bar and R control chart Week 16 Factorial experiments with more than two levels Week 17 Introduction to control charts Week 18 Final exam (In-Class, 1 Cheat sheet, Calculator)

評量方式與標準 1. Midterm Exam: 30% 2. Final Exam: 30% 3. Team project: 15% 4. Homework: 20% 5. Attendance: 5%

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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備註

教師姓名	朴維鎮
Email	eugenepark993@gmail.com
最後更新時間	2020-02-13 14:58:28
課程大綱	The purpose of this course is to train the students who can be familiar with the statistics approaches and theories. Besides, they will be able to employ the collected data to analyze the unknown environments. The course includes probability theory, testing, regression analysis and variance analysis.
課程進度	Week 1 Introduction to probability distribution, sampling distribution, and estimation Week 2 Decision making for a single sample – Estimation, hypothesis testing, inference on the mean of a population Week 3 Decision making for a single sample – Inference on the variance of a normal population, inference on a population proportion, goodness of fit test Week 4 Decision making for two samples – Inference on the means of two populations, paired t-test Week 5 Decision making for two samples – Inference on the ratio of variances of two normal populations, inference on two population proportions Week 6 Simple linear regression – Part I Week 7 Simple linear regression – Part II Week 8 Other aspects of simple linear regression Week 9 Midterm exam (In-Class, 1 Cheat Sheet, Calculator) Week 10 Multiple linear regression – Part I Week 11 Multiple linear regression – Part II Week 12 Other aspects of multiple linear regression Week 13 Factorial design, replication, center points – Part I Week 14 Factorial design, replication, center points – Part II Week 15 Blocking, confounding, fractional factorial designs X-bar and R control chart Week 16 Factorial experiments with more than two levels Week 17 Introduction to control charts Week 18 Final exam (In-Class, 1 Cheat sheet, Calculator)
評量方式與標準	1. Midterm Exam: 30% 2. Final Exam: 30% 3. Team project: 15% 4. Homework: 20% 5. Attendance: 5%
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