SemesterSpring Semester, 2025
DepartmentSelective Courses of Master Level, International College of Innovation
Course NameSpecialized Course III (GTIM): Big Data for Social Analysis
InstructorPien Chung-pei
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule

Week 1: Introduction of the Course (2024/2/20)



 



Introduction: Data analysis, statistics, and social science



 



Section 1: Basic R Coding Skills



Week 2: R, Vector, and Object (2024/2/27)



Chapter 1, 2, & 4, Machlis, Sharon. 2019. Practical R for Mass Communication and Journalism. CRC Press



Chapter 1 & 2 in Kabacoff, Robert. 2015. R in Action, Data Analysis and Graphics with R. Manning Publications; 2 Edition



Week 3: Dataframe and Import Data (2024/3/6)



Chapter 4 & 5, Machlis, Sharon. 2019. Practical R for Mass Communication and Journalism. CRC Press



Chapter 4 in Kabacoff, Robert. 2015. R in Action, Data Analysis and Graphics with R. Manning Publications; 2 Edition



Week 4: Advanced Dataframe Manipulation (2024/3/13)



Data-wrangling-cheatsheet



Week 5: Data Mining and Visualization (2024/3/20)



Chapter 6 & 9, Machlis, Sharon. 2019. Practical R for Mass Communication and Journalism. CRC Press



Chapter 7 in Kabacoff, Robert. 2015. R in Action, Data Analysis and Graphics with R. Manning Publications; 2 Edition



Section 2: Advanced R Coding Skills



Week 6: Loop (2024/3/27)



Chapter 5 & 7, Machlis, Sharon. 2019. Practical R for Mass Communication and Journalism. CRC Press



Week 7: Spring Break (2021/4/3)



Week 8: Time Series Analysis (2021/4/10)



 



Week 9: Midterm Exam (2021/4/17)



 



Week 10: Form Data Mining to Project Development (2021/4/24)



Week 11: Text Mining (2021/5/1)



Online Lesson:http://regexone.com/



Week 12: Final Project Proposal Presentation (2021/5/8)



Week 13: Geographic Information System (2021/5/15)



Week 14: Web Crawler: Basic (2021/5/22)



Week 15: Table and Dynamic Web Page Scraping (2021/5/29)



Week 16: Final Presentation (2021/6/2) Monday Morning



Week 17: Final Paper Workshop (2021/6/12)



Week 18: Final Paper Writing (2021/6/19)


Teaching Methods
Teaching Assistant
Requirement/Grading

1. Attendance (10%)

2. Assignments (20%)

3. Midterm exam (25%)

4. Project Proposal (10%)

5. Final Paper (35%)



Generative AI Utility Policy



Conditional Acceptance:




  1. Use ChatGPT as a teaching assistant.

  2. Work independently on assignments, particularly in coding.

  3. Seek help when facing challenges or in need of inspiration.


Textbook & Reference

Machlis, Sharon. 2019. Practical R for Mass Communication and Journalism. CRC Press



Kabacoff, Robert. 2015. R in Action, Data Analysis and Graphics with R. Manning Publications; 2 Edition


Urls about Course
Attachment