Chevron Left
Вернуться к Understanding China, 1700-2000: A Data Analytic Approach, Part 1

Отзывы учащихся о курсе Understanding China, 1700-2000: A Data Analytic Approach, Part 1 от партнера Гонконгский университет науки и технологий

Оценки: 113

О курсе

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 ( 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:

Лучшие рецензии


24 мая 2017 г.

I loved the course. It gave me a totally different view of pre-revolution China. Even though I am not into

quantitative data, I still learned from the conclusions and interpretations of the data.


11 нояб. 2020 г.

This course was very informative and engaging. The questions were a great way to check understanding. I can't wait for Part 2!

Фильтр по:

1–25 из 29 отзывов о курсе Understanding China, 1700-2000: A Data Analytic Approach, Part 1

автор: JOHN Q

20 нояб. 2017 г.

автор: Lucy X

23 июня 2021 г.

автор: Roxanne H

12 нояб. 2020 г.

автор: Bhoomi A

18 сент. 2020 г.

автор: Matt M

19 окт. 2017 г.

автор: Chairag O

12 апр. 2020 г.

автор: Sara T

25 окт. 2017 г.

автор: Sathyajith M 1

14 июля 2020 г.

автор: Médéric D

17 янв. 2018 г.

автор: Nhat L

26 сент. 2017 г.

автор: Yasmin C

6 июля 2018 г.

автор: Fabian F

24 июля 2017 г.

автор: Florian C

9 апр. 2021 г.

автор: Jun M

17 мая 2021 г.

автор: Jialin B

23 мая 2018 г.

автор: Phuong N

25 июля 2020 г.

автор: C.S Y

16 июня 2021 г.

автор: Toni H

8 авг. 2020 г.

автор: Tiffany F

19 окт. 2022 г.

автор: Asir A

25 мая 2017 г.

автор: Joy S

29 дек. 2018 г.

автор: Marcos O

1 нояб. 2020 г.

автор: Thùy H

29 авг. 2021 г.

автор: Keawalin S

10 июля 2020 г.

автор: Yuda P A S

28 мая 2021 г.