NCHU Course Outline

Course Name	(中) 計算材料科學(4140)
	(Eng.) Computational Materials Science
Offering Dept	Department of Materials Science and Engineering
Course Type	Elective	Credits	3	Teacher	Chya-Yan Liaw
Department	Department of Materials Science and Engineering/Undergraduate	Language	English	Semester	2025-SPRING
Course Description	This course integrates statistical thinking into the engineering curriculum using the JMP software package. The students will learn basic statistics first, which is essential to understand the design of experiment (DoE). They will know why DoE is an efficient experimental approach, the terminology of DoE, and be introduced to several types of designs. Upon completion of this course, students will gain knowledge of experiment planning and execution and data analysis using the software, which is essential in achieving success with future experimentation. 這門課程將統計思維融入工程課程，並使用JMP軟體(由SAS公司開發的一款統計分析軟體)。學生將首先學習基本的統計知識，這對理解實驗設計（DoE）能奠定基礎。學生將了解為何DoE是一種高效的實驗方法，學習DoE的術語，並接觸到幾種不同類型的設計。完成這門課程後，學生將掌握實驗計劃與分析技能，這對未來的實驗或就職做更好的準備。
Prerequisites				self-directed learning in the course	N

Relevance of Course Objectives and Core Learning Outcomes(%)			Teaching and Assessment Methods for Course Objectives
Course Objectives	Competency Indicators	Ratio(%)	Teaching Methods	Assessment Methods
			topic Discussion/Production Networking/Distance Education Discussion Lecturing	Written Presentation Oral Presentation
Course Content and Homework/Schedule/Tests Schedule
Week Course Content Week 1 Basic statistical concepts Week 2 Basic statistical concepts Week 3 Basic statistical concepts Week 4 Simple linear regression Week 5 Multiple linear regression Week 6 Multiple linear regression Week 7 Introduction to Design of Experiment (DoE) Week 8 Introduction to Design of Experiment (DoE) Week 9 Midterm Week 10 Types of Experimental designs Week 11 Types of Experimental designs Week 12 Types of Experimental designs Week 13 Types of Experimental designs Week 14 Types of Experimental designs Week 15 Types of Experimental designs Week 16 Final Presentations Week 17 Final Presentations Week 18 Final Presentations
Evaluation
Mid-term exam 40% Final project and presentation 50% Participation 10%
Textbook & other References
Douglas C. Montgomery, Design and Analysis of Experiments, Wiley, 10th edition. (The electronic version can be accessed through the university library, 電子版本可以從學校圖書館取得)
Teaching Aids & Teacher's Website
Office Hours
Sustainable Development Goals, SDGs(Link URL)
include experience courses：N

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Update Date, year/month/day：2025/02/10 00:25:44	Printed Date, year/month/day：2025 / 4 / 19
The second-hand book website：http://www.myub.com.tw/