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

113-1 334576 統計學(一)實習 1 1.0 2 ▲ 朴維鎮工管二甲 49 0 計中電腦教室

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
113-1	334576	統計學(一)實習	1	1.0	2	▲	朴維鎮	工管二甲	49	0	計中電腦教室

教學大綱與進度：

教師姓名朴維鎮　教師諮商時間(Office Hours)

Email eugenepark993@gmail.com

最後更新時間 2024-05-28 15:38:08

課程大綱 This course is an introduction to statistical computing and will be taught in Python or Minitab. It is assumed students have exposure to basic statistics and knowledge of calculus (i.e., differential and integral calculus). The main focus of the class will be on statistical analysis and graphics in Python or Minitab. Students will cover basic statistical concepts and various statistical methods such as estimation, hypothesis tests, regression analysis, and ANOVA.

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 ANOVA Week 17 Quiz, independent Study Week 18 Final exam

評量方式與標準 Midterm Exam: 20 % Final Exam: 30 % Assignments: 20 % Team project: 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 Email or i-school system.
Office hour: Thursday 11:00 ~ 12:00

課程對應SDGs指標 SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG11：永續城市與社區（Sustainable Cities and Communities）

備註
The course link will be sent by the school E-mail.

教師姓名	朴維鎮　教師諮商時間(Office Hours)
Email	eugenepark993@gmail.com
最後更新時間	2024-05-28 15:38:08
課程大綱	This course is an introduction to statistical computing and will be taught in Python or Minitab. It is assumed students have exposure to basic statistics and knowledge of calculus (i.e., differential and integral calculus). The main focus of the class will be on statistical analysis and graphics in Python or Minitab. Students will cover basic statistical concepts and various statistical methods such as estimation, hypothesis tests, regression analysis, and ANOVA.
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 ANOVA Week 17 Quiz, independent Study Week 18 Final exam
評量方式與標準	Midterm Exam: 20 % Final Exam: 30 % Assignments: 20 % Team project: 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	Email or i-school system. Office hour: Thursday 11:00 ~ 12:00
課程對應SDGs指標	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG11：永續城市與社區（Sustainable Cities and Communities）
備註	The course link will be sent by the school E-mail.