NCHU Course Outline

Course Name	(中) 數據科學在教育數據分析理論與應用(一)(5919)
	(Eng.) Theory and Application of Data Science for Education Data (I)
Offering Dept	Graduate Institute of Data Science and Information Computing
Course Type	Elective			Credits	1	Teacher	Kuan-Chu Peng
Department	General			Language	Chinese	英文/EMI		Semester	2025-FALL
Course Description	In this course, we will introduce some classical models and their theoretical foundation. Then, we will focus on the applications of using these models on the education data. Our objective is to prepare the students to expand their teaching techniques for their current lectures using machine learning.
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
1、 了解機器學習演算法的理論基礎並實做機器學習演算法 2、 能夠將機器學習的分析方法應用在教育相關的大數據資料	3. 6.	50 50	Lecturing	Written Presentation Assignment
Course Content and Homework/Schedule/Tests Schedule
Week Course Content Week 1 Formal Model Perceptron Week 2 Formal Model Perceptron Week 3 Formal Model Perceptron Week 4 AdaLine and Gradient Descent Realizability Assumption Sample Complexity Week 5 AdaLine and Gradient Descent Realizability Assumption Sample Complexity Week 6 AdaLine and Gradient Descent Realizability Assumption Sample Complexity Week 7 Probably Approximately Correct (PAC) Learning Agonostic PAC Learning Uniform Convergence Week 8 Probably Approximately Correct (PAC) Learning Agonostic PAC Learning Uniform Convergence Week 9 Probably Approximately Correct (PAC) Learning Agonostic PAC Learning Uniform Convergence Week 10 General Linear Model Logistic Regression A General Flow of Learning Process Bias-Variance TradeOff Week 11 General Linear Model Logistic Regression A General Flow of Learning Process Bias-Variance TradeOff Week 12 General Linear Model Logistic Regression A General Flow of Learning Process Bias-Variance TradeOff Week 13 General Linear Model Logistic Regression A General Flow of Learning Process Bias-Variance TradeOff Week 14 報告:教育數據的搜尋與理解 Week 15 報告:教育數據的搜尋與理解 Week 16 報告:教育數據的搜尋與理解 報告:教育數據的搜尋與理解 報告:教育數據的搜尋與理解 self-directed learning
Evaluation
作業30%、測驗30%、專題40%
Textbook & other References
自編講義
Teaching Aids & Teacher's Website
Office Hours
預約
Sustainable Development Goals, SDGs(Link URL)
include experience courses：N

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Update Date, year/month/day：None	Printed Date, year/month/day：2025 / 7 / 02
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