SemesterSpring Semester, 2025
DepartmentFreshman Class of Department of Computer Science Sophomore Class of Department of Computer Science
Course NameData Analysis for Social media
InstructorHSIEH PEI-HSUAN
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule




























































































































Week



Date



Topic



Content and Reading Assignment



Teaching Activities & HW



1



Feb 21



Intro.



Syllabus Review, SM Platforms



Lecture



2



Feb 28



SNA Basics



[NO CLASS] Data Sources and Types



Ind. SM User Report



3



Mar 07



Data Collection and Analysis Methods 1/2



Lecture



4



Mar 14



Data Collection and Analysis Methods 2/2



Lecture



5



Mar 21



SNA no.1-2



LinkedIn



Lecture and Hands-on Practices



6



Mar 28



Instagram



7



Apr 04



[NO CLASS] Group Project Proposal: Recording



(SNA no.3) Ind. Discord Data Analysis



8



Apr 11



SNA no.4-5



Pinterest



Lecture and Hands-on Practices



9



Apr 18



Snapchat



10



Apr 25



Exam 1/2



Ind. Midterm Exam



Ind. Learning Reflection 1/2



11



May 02



SNA no.6-9



Reddit



Lecture and Hands-on Practices



12



May 09



TikTok



13



May 16



YouTube



14



May 23



Game: Roblox



15



May 30



[NO CLASS] Group Project Presentation: Recording



(SNA no.10) Ind. Medium Data Analysis



16



Jun 06



Exam 2/2



Ind. Final-term Exam



Ind. Learning Reflection 2/2



17



Jun 13



Ethics of SNA



Accuracy, Anonymity, Consent, Privacy



Ind. SNA Research Paper Review



18



Jun 20



AI/Individual Standing, Psychological harm



Lecture



Teaching Methods
Teaching Assistant

TBD


Requirement/Grading

20%: Term Exams (midterm and final-term)



20%: SNA no.1~no.10 Hands-on Practices (each one counts 2%)



40%: Group Project Proposal (midterm 10%) and Presentation (final-term 30%)



20%: Ind. Tasks (SM User Report, SNA Research Paper Review, Learning Reflection two times; each one counts 5%)


Textbook & Reference

Urls about Course
Selected Online Learning Resources: Borgatti, Steve P. https://sites.google.com/site/steveborgatti/home Hanneman, Robert A. Introduction to Social Network https://faculty.ucr.edu/~hanneman/ https://www.youtube.com/watch?v=GFfaD-kVe_A https://www.youtube.com/watch?v=pp1PoMiCQlk https://www.youtube.com/channel/UC2QFG7uIVxkFQ3xZbohKl-Q https://www.youtube.com/@ssriutube/videos Syllabus, Spring 2023 (lectured in Mandarin): https://newdoc.nccu.edu.tw/teaschm/1112/schmPrv.jsp-yy=111&smt=2&num=703850&gop=00&s=1.html Syllabus, Fall 2017 (lectured in Mandarin, for your reference only): https://newdoc.nccu.edu.tw/teaschm/1061/schmPrv.jsp-yy=106&smt=1&num=462914&gop=00&s=1.html
Attachment