Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	362642	Statistics (I)	1	3.0	3	▲	Ting, Hsiu-I	4IFM2	61	0

Course Plan：

Instructor	Ting, Hsiu-I　Office Hours
Email	hiting@ntut.edu.tw
Last Updated	2026-06-14 16:36:43
Course Objective	The purpose of this course is to familiarize students with frequently used statistical methods and theories. Students will be able to draw appropriate conclusions through problem identification, data collection, and appropriate statistical analysis methods. The course includes: descriptive statistics, probability concepts, probability distribution, interval estimation, hypothesis test, variance analysis, and regression analysis.
Course Schedule	1 Ch1 Data and Statistics. 2 Ch2 Descriptive Statistics: Tabular and Graphical Displays. 3 Ch3 Descriptive Statistics: Numerical Measures. 4 Day off 5 Descriptive Statistics Report 6 Ch4 Introduction to Probability. 7 Ch5 Discrete Probability Distributions. 8 Day off 9 Ch6 Continuous Probability Distributions. 10 Day off 11 Mid-term exam 12 Ch7 Sampling and Sampling Distributions. 13 Ch7 14 Ch8 Interval Estimation. 15 Ch8 16 Final exam
Evaluation and grading policy	Assignments & quiz 40% Report 20% Mid-term exam 20% Final exam 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Statistics for Business & Economics (15e).
The access to curricular consultation	Please contact via email
Expanding teaching and resources	● 混成學習 (Blended Learning) 課程結合實體授課與線上學習（同步視訊／非同步活動）。 Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities).
The course corresponds to the SDGs	SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG10：減少不平等（Reduced Inequalities）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	If necessary, we will use Microsoft Teams for online teaching. 17 至 18 週彈性學習內容。 一、類別 (可複選) □學生分組實作及討論 □參與課程相關作業 □線上數位教材學習 二、內容 (1)第 17 週:引導學生應用前 16 週學到的敘述統計、機率分佈與抽樣理論，以分組形式進行個案數據討論，強化數據思維與工具應用能力。 (2)第 18 週:指定學生觀看課程影片，統整全學期架構，達到溫故知新之效果。 三、時數 總共 6 小時。 四、學習成果 (1)第 17 週學生需繳交一份簡要報告（包含圖表呈現與統計意涵解讀）。 (2)第 18 週學生需完成指定的線上數位教材觀看。 五、評量比例 10%