NCHU Course Outline

Course Name	(中) 專題演講(二)(7318)
	(Eng.) Seminar(II)
Offering Dept	Department of Applied Mathematics
Course Type	Elective	Credits	0	Teacher	TSAI, HUNG-HSU
Department	Doctoral Program in Big Data Analytics for Industrial ApplicationsPh.D	Language	中/英文	Semester	2026-FALL
Course Description
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.Mathematical Thinking and Logic 2.Artificial Intelligence Theory and Application Expertise 3.Expertise in Big Data Theory and Applications 4.Machine Learning and Deep Learning for Practical Data Analysis 5.Intelligent Computing Modeling and Software Applications	20 20 20 20 20
Course Content and Homework/Schedule/Tests Schedule
Week Course Content Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 Week 11 Week 12 Week 13 Week 14 Week 15 Week 16 self-directed learning
Evaluation
Textbook & other References
Teaching Aids & Teacher's Website
Office Hours
Sustainable Development Goals, SDGs(Link URL)
include experience courses：N

Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day：None	Printed Date, year/month/day：2026 / 6 / 19
The second-hand book website：http://www.myub.com.tw/