NCHU Course Outline

Course Name	(中) 統計與實驗設計方法概論(2332)
	(Eng.) Introduction to Statistics and Design of Experiments
Offering Dept	Department of Chemical Engineering
Course Type	Elective			Credits	3	Teacher	CHANG,HOU-CHIEN
Department	Department of Chemical Engineering / Undergraduate			Language	Chinese	Semester	2026-FALL
Course Description	本課程涵蓋多種機率分佈、統計圖表，以及利用統計結果進行估計與假設檢定。課程還包括數據分析和線性迴歸，作為實驗設計的重要基礎。介紹統計學的基本原理及其在工程中的應用，涵蓋的主題包括機率分佈、統計推論、假設檢定、迴歸分析和實驗設計。
Prerequisites

Relevance of Course Objectives and Core Learning Outcomes(%)			Teaching and Assessment Methods for Course Objectives
Course Objectives	Competency Indicators	Ratio(%)	Teaching Methods	Assessment Methods
學生將學習如何收集、分析和解釋數據，以做出明智決策並解決工程問題。課程強調實際應用，包括製程優化、品質控制和系統性能評估。通過實作練習和實際案例，學生將發展出應對複雜工程挑戰的關鍵分析能力。	1.Solid foundations on fundamental scientific and professional chemical engineering knowledge. 2.Substantiated expertise on distinct areas including biotechnology, polymer science, and precision chemical processing. 3.Proficiency of analyzing problems and identifying key points with rigorous logic. 4.Courage to confront challenges and initiate discoveries. 6.Attitude of active participation and efficient communication.	40 10 30 10 10	Exercises Lecturing	Written Presentation Attendance Oral Presentation Assignment Quiz
Course Content and Homework/Schedule/Tests Schedule
Week Course Content Week 1 Introduction of engineering statistics Week 2 Data summary and presentation Week 3 Random variables and probability distribution continuous Week 4 Random variables and probability distribution continuous Week 5 Random variables and probability distribution discrete Week 6 Random variables and probability distribution discrete Week 7 midterm Week 8 Decision making for single sample inference on the mean Week 9 Decision making for single sample inference on the mean Week 10 Decision making for single sample inference on the variance Week 11 Decision making for single sample inference on the variance Week 12 Decision making for single sample inference on population proportion Week 13 Decision making for single sample inference on population proportion Week 14 Decision making for two samples inference on the means Week 15 Decision making for two samples inference on thee variances Week 16 final self-directed learning    03.Preparing presentations or reports related to industry and academia.
Evaluation
in-class practice: 60% midterm: 20% final: 20%
Textbook & other References
Engineering Statistics, Montgomery, Runger, and Hubele
Teaching Aids & Teacher's Website
Office Hours

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Update Date, year/month/day：2026/08/17 16:04:15	Printed Date, year/month/day：2026 / 8 / 24
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