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	362423	Statistics (I)	1	3.0	3	▲	RONG-HO LIN	4IEM2A	39	0

Course Plan：

Instructor	RONG-HO LIN　Office Hours
Email	rhlin@ntut.edu.tw
Last Updated	2026-06-07 07:21:45
Course Objective	本課程之目的在訓練學生，使學生熟悉經常使用之統計方法與理論，能利用已知之資料整理、分析未知之現象，打好修習其他相關學科之基礎。課程內容包括：機率理論、推定、假設檢定、迴歸分析、變異數分析等。 The purpose of this course is to train student and to provide a background in the theory and methodology of general statistical issues. Topics include: probability theory, inference, hypothesis testing, regression analysis and variance analysis.
Course Schedule	W1 Data and Statistics (Ch 1) W2 Descriptive Statistics: Tabular and Graphical Displays (Ch 2) W3 Descriptive Statistics: Numerical Measures (Ch 3) W4 Data Distribution, Outliers and EDA (Ch 3) (Quiz 1) W5 Introduction to Probability: Experiments & Rules (Ch 4) W6 First Midterm Exam (Ch 1 - Ch 4 Fundamentals) (Exam 1) W7 Conditional Probability, Independence & Bayes' Theorem (Ch 4) W8 Discrete Probability Distributions: Expected Value (Ch 5) W9 Binomial, Poisson, and Hypergeometric Distributions (Ch 5) (Quiz 2) W10 Continuous Probability Distributions: Normal Distribution (Ch 6) W11 Exponential Distribution and Normal Approximation (Ch 6) W12 Second Midterm Exam (Ch 4 Advanced - Ch 6) (Exam 2) W13 Sampling and Sampling Distributions (Ch 7) W14 Central Limit Theorem (CLT) and Point Estimation (Ch 7) W15 Interval Estimation: Population Mean ($\sigma$ Known/Unknown) (Ch 8) W16 Population Proportion and Sample Size Determination (Ch 8) (Quiz 3) W17 Sampling and Non-sampling Errors in the Big Data Era W18 Third Midterm Exam (Final Exam Ch 7 - Ch 8) (Exam 3)
Evaluation and grading policy	• 3 Midterm Exams: 60% (20% each) • 3 Quizzes: 15% (5% each) • (Class discuss & Attendance): 25%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Statistics for Business and Economics (Anderson )
The access to curricular consultation	Thursday, 11:00~15:00 Office hours, or 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). ● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification. ● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG2：消除飢餓（Zero Hunger） SDG4：優質教育（Quality Education） SDG5：性別平等（Gender Equality）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	本學期課程若因應疫情警戒等級規劃上課方式原則如下，實際實施日期與上課方式，請依照學校網頁所公布之訊息為準： (https://istudy.ntut.edu.tw/teach/index.php) ※「一級」警戒：實體授課。 ※「三級」(含)以上警戒：課程全採遠距授課。 ※「二級」警戒授課方式說明如下： ●上課方式：遠距上課