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

110-1 292045 統計學(一)實習 1 1.0 2 ▲ 范書愷工管二甲 43 0 *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
110-1	292045	統計學(一)實習	1	1.0	2	▲	范書愷	工管二甲	43	0	*電腦教室

教學大綱與進度：

教師姓名范書愷

Email morrisfan@ntut.edu.tw

最後更新時間 2021-09-16 17:13:14

課程大綱 An introduction to probability theory and mathematical statistics that emphasizes the probabilistic foundations required to understand probability models and statistical methods. Topics covered will include the probability axioms, basic combinatorics, discrete and continuous random variables, probability distributions, mathematical expectation, common families of probability distributions, the central limit theorem, inferential statistics, and some useful statistical methods. The course objectives are to enable students having the ability to □ Summarize and present data; □ Describe probability distributions and compute probabilities; □ Conduct point and interval estimation; □ Make inference about populations; □ Apply these concepts in practice with emphasis on engineering applications, engineering design, decision making and management sciences.

課程進度 1 Introduction to Probability Chapter 1.1-1.2 2 Introduction to Probability Chapter 1.3-1.6 3 Discrete Distributions Chapter 2.1-2.2 4 Discrete Distributions Chapter 2.3-2.4 5 Discrete Distributions Chapter 2.5-2.6 6 Continuous Distributions Chapter 3.1-3.2 7 Continuous Distributions Chapter 3.3-3.5 8 Continuous Distributions & Recapitulation Chapter 3.6-3.7 9 Midterm Exam in class 10 Review of Midterm Exam 11 Bivariate Distributions Chapter 4.1-4.2 12 Bivariate Distributions Chapter 4.3-4.4 13 Distributions of Functions of Random Variables Chapter 5.1-5.2 14 Distributions of Functions of Random Variables Chapter 5.3-5.4 15 Distributions of Functions of Random Variables Chapter 5.5-5.7 16 Recapitulation & Homework Assignments Review 17 Final Exam in class

評量方式與標準 Grading Policy: 30% Homework Assignments & Quizzes, 30% Midterm, 30% Final, 10% Participation

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
[Textbook] Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying Ye (2012), Probability & Statistics for Engineers and Scientists, Ninth Edition, Pearson Education, Upper Saddle River, New Jersey. ISBN-13: 978-0-321-74823-2 Robert V. Hogg and Elliot A. Tanis (2010), Probability and Statistical Inference, Eighth Edition, Pearson Prentice Hall, Upper Saddle River, New Jersey 07458. ISBN-13: 978-0-321-63635-5 [References] Morris H. Degroot and Mark J. Schervish (2011), Probability and Statistics, Fourth Edition, Pearson Addison Wesley. ISBN-13: 9780321500465 Douglas C. Montgomery and George C. Runger (2010), Applied Statistics and Probability for Engineers, Fifth Edition, John Wiley. ISBN 978-0-470-05304-1

課程諮詢管道分機2382

備註 ●上課方式：遠距上課

●評量方式：
線上考試
●補充說明資訊：

教師姓名	范書愷
Email	morrisfan@ntut.edu.tw
最後更新時間	2021-09-16 17:13:14
課程大綱	An introduction to probability theory and mathematical statistics that emphasizes the probabilistic foundations required to understand probability models and statistical methods. Topics covered will include the probability axioms, basic combinatorics, discrete and continuous random variables, probability distributions, mathematical expectation, common families of probability distributions, the central limit theorem, inferential statistics, and some useful statistical methods. The course objectives are to enable students having the ability to □ Summarize and present data; □ Describe probability distributions and compute probabilities; □ Conduct point and interval estimation; □ Make inference about populations; □ Apply these concepts in practice with emphasis on engineering applications, engineering design, decision making and management sciences.
課程進度	1 Introduction to Probability Chapter 1.1-1.2 2 Introduction to Probability Chapter 1.3-1.6 3 Discrete Distributions Chapter 2.1-2.2 4 Discrete Distributions Chapter 2.3-2.4 5 Discrete Distributions Chapter 2.5-2.6 6 Continuous Distributions Chapter 3.1-3.2 7 Continuous Distributions Chapter 3.3-3.5 8 Continuous Distributions & Recapitulation Chapter 3.6-3.7 9 Midterm Exam in class 10 Review of Midterm Exam 11 Bivariate Distributions Chapter 4.1-4.2 12 Bivariate Distributions Chapter 4.3-4.4 13 Distributions of Functions of Random Variables Chapter 5.1-5.2 14 Distributions of Functions of Random Variables Chapter 5.3-5.4 15 Distributions of Functions of Random Variables Chapter 5.5-5.7 16 Recapitulation & Homework Assignments Review 17 Final Exam in class
評量方式與標準	Grading Policy: 30% Homework Assignments & Quizzes, 30% Midterm, 30% Final, 10% Participation
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 [Textbook] Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying Ye (2012), Probability & Statistics for Engineers and Scientists, Ninth Edition, Pearson Education, Upper Saddle River, New Jersey. ISBN-13: 978-0-321-74823-2 Robert V. Hogg and Elliot A. Tanis (2010), Probability and Statistical Inference, Eighth Edition, Pearson Prentice Hall, Upper Saddle River, New Jersey 07458. ISBN-13: 978-0-321-63635-5 [References] Morris H. Degroot and Mark J. Schervish (2011), Probability and Statistics, Fourth Edition, Pearson Addison Wesley. ISBN-13: 9780321500465 Douglas C. Montgomery and George C. Runger (2010), Applied Statistics and Probability for Engineers, Fifth Edition, John Wiley. ISBN 978-0-470-05304-1
課程諮詢管道	分機2382
備註	●上課方式：遠距上課 ●評量方式：線上考試 ●補充說明資訊：