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Understanding China, 1700-2000: A Data Analytic Approach, Part 1

The Hong Kong University of Science and Technology via Coursera

5 Reviews 611 students interested
Found in History
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 3-4 hours a week
  • Start Date
  • Duration 5 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective.

Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history. Current understandings of human history and social theory are based largely on Western experience or on non-Western experience seen through a Western lens. This course offers alternative perspectives derived from Chinese experience over the last three centuries. We present specific case studies of this new scholarship of discovery divided into two stand-alone parts, which means that students can take any part without prior or subsequent attendance of the other part.

Part 1 (this course) focuses on comparative inequality and opportunity and addresses two related questions ‘Who rises to the top?’ and ‘Who gets what?’.

Part 2 (https://www.coursera.org/learn/understanding-china-history-part-2) turns to an arguably even more important question ‘Who are we?’ as seen through the framework of comparative population behavior - mortality, marriage, and reproduction – and their interaction with economic conditions and human values. We do so because mortality and reproduction are fundamental and universal, because they differ historically just as radically between China and the West as patterns of inequality and opportunity, and because these differences demonstrate the mutability of human behavior and values.

Course Overview video: https://youtu.be/dzUPRyJ4ETk

Syllabus

Orientation and Module 1: Social Structure and Education in Late Imperial China
-Before you start with the content for Module 1, please watch the Course Overview, review the Assignments and Grading page, and introduce yourself to other learners who will be studying this course with you.

Module 2: Education and Social Mobility in Contemporary China

Module 3: Social Mobility and Wealth Distribution in Late Imperial and Contemporary China

Module 4: Wealth Distribution and Regime Change in Twentieth Century China

Final Exam and Farewell
-Now is time to test your understanding on the entire course. Take the final exam and complete the post-course survey. Your valuable feedback will certainly help us improve future iterations of the course.

Taught by

James Lee

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Reviews for Coursera's Understanding China, 1700-2000: A Data Analytic Approach, Part 1
4.6 Based on 5 reviews

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  • 1
Anonymous
5.0 9 months ago
Anonymous completed this course.
This is not just a series of stories about Chinese history. This uses actual, statistical facts to tell you what is and has been going on there. The facts are different than some things I have heard before. This is valid and interesting. Also useful knowledge to have.
Was this review helpful to you? Yes
Anonymous
4.0 11 months ago
Anonymous completed this course.
Good; new perspectives and approach to data; bit chaotic at times with jumping from one subject and era to another but definately helpful in learning about the chinese society
Was this review helpful to you? Yes
Sylvia A
5.0 5 months ago
by Sylvia completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
It is a course about history of China, but also the sociology of China. It deals with inequalities and education.
Was this review helpful to you? Yes
Tim T
4.0 4 years ago
by Tim completed this course.
1 person found
this review helpful
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Patrick H
5.0 3 years ago
by Patrick completed this course.
Was this review helpful to you? Yes
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