NCHU Course Outline

Course Name	(中) 統計學暨實習(1810)
	(Eng.) Statistics with Recitation
Offering Dept	General
Course Type	Elective	Credits	4	Teacher	CHANG-YUN LIN
Department	General	Language	English	Semester	2025-FALL
Course Description	This course introduces students to the core concepts and methods of statistics, with a focus on learning how to use data effectively in the face of uncertainty. Key topics include data visualization, descriptive statistics, probability, statistical inference, and linear regression. Emphasis will be placed on building intuition and practical understanding rather than mathematical rigor. Students will develop the skills to make sense of data, draw meaningful conclusions, and communicate results with clarity and confidence. The tools and thinking developed in this course are valuable for making informed decisions and conducting research across a wide range of disciplines. They also form the foundation of many modern applications, including machine learning and artificial intelligence.
Prerequisites				self-directed learning in the course	Y

Relevance of Course Objectives and Core Learning Outcomes(%)			Teaching and Assessment Methods for Course Objectives
Course Objectives	Competency Indicators	Ratio(%)	Teaching Methods	Assessment Methods
Course Content and Homework/Schedule/Tests Schedule
Week Course Content Week 1 Course introduction Week 2 Introduction to Data Week 3 Summarizing Data Week 4 Probability Week 5 Distribution of Random Variables Week 6 Foundations for Inference (I) Week 7 Foundations for Inference (II) Week 8 Midterm exam (9:30 AM - 12:00 PM, Oct 22) Week 9 Inference for Categorical Data (I) Week 10 Inference for Categorical Data (II) Week 11 Inference for Numerical Data (I) Week 12 Inference for Numerical Data (II) Week 13 Introduction to Linear Regression (I) Week 14 Introduction to Linear Regression (II) Week 15 Final exam (9:30 AM - 12:00 PM, Dec 10) Week 16 Study day (no class) self-directed learning    06.Participation in field trips and outdoor instructional activities at other NCHU campuses or branches, including experimental forests or test sites.
Evaluation
● Quiz: 30% ● Midterm: 30% ● Final: 40%
Textbook & other References
Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2019). OpenIntro Statistics (4th ed.). The textbook is available as a free PDF download at https://leanpub.com/openintro- statistics.
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：2025/08/12 17:13:42	Printed Date, year/month/day：2025 / 8 / 19
The second-hand book website：http://www.myub.com.tw/