NCHU Course Outline

Course Name	(中) 應用統計與R語言(3320)
	(Eng.) Applied Statistics With R Programming
Offering Dept	Department of Applied Mathematics (Data Science and Computing Program)
Course Type	Elective	Credits	3	Teacher	TZENG, SHENGLI
Department	Department of Applied Mathematics (Data Science and Computing Program)/Undergraduate	Language	中/英文	Semester	2025-FALL
Course Description	Learning essential statistics expected of mathematics undergraduates, with a focus on theoretical thinking, programming, and developing intuition for analyzing real-world data.
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
The goal of this course is to understand the basic concepts of statistics and become familiar with common data analysis techniques. Through hands-on experience with real-world datasets, students will learn how to appropriately analyze data and extract useful insights.			topic Discussion/Production Discussion Lecturing	Written Presentation Oral Presentation Quiz
Course Content and Homework/Schedule/Tests Schedule
Week Course Content Week 1 Overview and Software Installation Week 2 Data Input and Output Week 3 Flow Control Week 4 Data Structures and Functions Week 5 Comparing Differences Week 6 Operations on Matrices Week 7 Student Presentation 1 Week 8 Estimation and Optimization Week 9 Merging and Filtering Data Week 10 Association and Prediction Week 11 Association and Prediction Week 12 Association and Prediction Week 13 Unsupervised Learning Week 14 Unsupervised Learning Week 15 Unsupervised Learning Week 16 Student Presentation 2 self-directed learning    02.Viewing multimedia materials related to industry and academia.    03.Preparing presentations or reports related to industry and academia.
Evaluation
Quizzes: 28% Presentation 1: 36% Presentation 2: 36%
Textbook & other References
Hansjörg Neth (2025). Introduction to data science (i2ds). Available at https://bookdown.org/hneth/i2ds/ James, G., Witten, D., Hastie, T., & Tibshirani, R. (2022). An introduction to statistical learning: with applications in R (2nd ed). Springer.
Teaching Aids & Teacher's Website
The iLearning site will host the uploaded materials
Office Hours
Tuesday 13:00~15:00
Sustainable Development Goals, SDGs(Link URL)
08.Decent Work and Economic Growth   09.Industry, Innovation and Infrastructure include experience courses：N

Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day：2025/08/12 00:22:10	Printed Date, year/month/day：2025 / 8 / 19
The second-hand book website：http://www.myub.com.tw/