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

111-1 306442 統計程式之應用 1 3.0 3 ★ 羅元隆防災所 21 0 ◎土木三四甲乙及防災所合開(研究所上限20人)/土木館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
111-1	306442	統計程式之應用	1	3.0	3	★	羅元隆	防災所	21	0	◎土木三四甲乙及防災所合開(研究所上限20人)/土木館1

教學大綱與進度：

教師姓名羅元隆　教師諮商時間(Office Hours)

Email yllo@ntut.edu.tw

最後更新時間 2022-09-17 17:15:20

課程大綱 This course aims at providing a learning opportunity to use MATLAB programs to solve statistical analysis problems. MATLAB is one of the common mathematic analysis software and a very popular language in data mining. Its multidisciplinary platform function and built-in orders for statistic calculation and drawings can literally be powerful for statistics learning. In this semester, the schedule includes basic MATLAB practices, engineering statistics, associate practice examples, problems involving extreme value analysis, and problems involving reliability analysis. The goal of this course is to teach students how to use the open source software R for statistical analysis. R is currently the most commonly used free, open source, and cross-platform statistical software. It has many statistical functions, graphing tools, and its own programming language. Because of its many potential applications, the familiarity of this software could help students in the pursue of their chosen career paths, whether in industries or academic researches. This course will cover the various aspect of R, including installation, operation, data analysis, and program development. An entry-level statistical course is required before taking this course.

課程進度
(1-16週) W1：Basic MATLAB practice W2：Basic MATLAB practice W3：Roles of Probability and Statistics in Engineering W4：Fundamentals of Probability Models W5：Analytical Models of Random Phenomena W6：Analytical Models of Random Phenomena W7：Functions of Random Variables W8：Functions of Random Variables W9：Mid-term Examination W10：Computer-Based Numerical and Simulation Methods W11：Computer-Based Numerical and Simulation Methods W12：Statistical Inferences from Observation Data W13：Statistical Inferences from Observation Data W14：Determination of Probability Distribution Models W15：Determination of Probability Distribution Models W16：Problems Involving Extreme Value Analysis W17：Problems Involving Reliability Analysis W18：Final Examination

評量方式與標準 Attendance: 15% Class Performance: 15% Mid-term Exam: 25% Final Exam: 25% Report: 20%

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
Probability Concepts in Engineering Emphasis on Application to Civil and Environmental Engineering, Alfredo H-S. Ang and Wilson H. Tang, John Wiley & Sons, Inc., 2007, 2nd Edition.

課程諮詢管道 The timetable from 1 to 2 PM every Monday and Tuesday is the consultation time. If necessary, the timetable from 1 to 3 PM every Wednesday can also be reserved. Please write a mail to yllo@mail.ntut.edu.tw in advance to make the appointment.

延伸教學與資源

課程對應SDGs指標

課程是否導入AI

備註 Due to Covid-19, this course will possibly be given in remote lecturing because of the requirement from the university. If so, the online meeting interface of Google Meet will be adopted and the real-time recording will be uploaded to the Taipei Tech i-Campus website. The class quizzes will be replaced with assignments. The mid-term and the final written examinations will be given in class conventionally. However, this is also adjustable depending on the Covid-19 situation. If necessary, a Line based online group will be setup for flexible discussion activities for students.

教師姓名	羅元隆　教師諮商時間(Office Hours)
Email	yllo@ntut.edu.tw
最後更新時間	2022-09-17 17:15:20
課程大綱	This course aims at providing a learning opportunity to use MATLAB programs to solve statistical analysis problems. MATLAB is one of the common mathematic analysis software and a very popular language in data mining. Its multidisciplinary platform function and built-in orders for statistic calculation and drawings can literally be powerful for statistics learning. In this semester, the schedule includes basic MATLAB practices, engineering statistics, associate practice examples, problems involving extreme value analysis, and problems involving reliability analysis. The goal of this course is to teach students how to use the open source software R for statistical analysis. R is currently the most commonly used free, open source, and cross-platform statistical software. It has many statistical functions, graphing tools, and its own programming language. Because of its many potential applications, the familiarity of this software could help students in the pursue of their chosen career paths, whether in industries or academic researches. This course will cover the various aspect of R, including installation, operation, data analysis, and program development. An entry-level statistical course is required before taking this course.
課程進度 (1-16週)	W1：Basic MATLAB practice W2：Basic MATLAB practice W3：Roles of Probability and Statistics in Engineering W4：Fundamentals of Probability Models W5：Analytical Models of Random Phenomena W6：Analytical Models of Random Phenomena W7：Functions of Random Variables W8：Functions of Random Variables W9：Mid-term Examination W10：Computer-Based Numerical and Simulation Methods W11：Computer-Based Numerical and Simulation Methods W12：Statistical Inferences from Observation Data W13：Statistical Inferences from Observation Data W14：Determination of Probability Distribution Models W15：Determination of Probability Distribution Models W16：Problems Involving Extreme Value Analysis W17：Problems Involving Reliability Analysis W18：Final Examination
評量方式與標準	Attendance: 15% Class Performance: 15% Mid-term Exam: 25% Final Exam: 25% Report: 20%
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 Probability Concepts in Engineering Emphasis on Application to Civil and Environmental Engineering, Alfredo H-S. Ang and Wilson H. Tang, John Wiley & Sons, Inc., 2007, 2nd Edition.
課程諮詢管道	The timetable from 1 to 2 PM every Monday and Tuesday is the consultation time. If necessary, the timetable from 1 to 3 PM every Wednesday can also be reserved. Please write a mail to yllo@mail.ntut.edu.tw in advance to make the appointment.
延伸教學與資源
課程對應SDGs指標
課程是否導入AI
備註	Due to Covid-19, this course will possibly be given in remote lecturing because of the requirement from the university. If so, the online meeting interface of Google Meet will be adopted and the real-time recording will be uploaded to the Taipei Tech i-Campus website. The class quizzes will be replaced with assignments. The mid-term and the final written examinations will be given in class conventionally. However, this is also adjustable depending on the Covid-19 situation. If necessary, a Line based online group will be setup for flexible discussion activities for students.