一、课程信息

历史学研究中的计算与数据分析

课程号：08400945

课程体系：专业选修课、直博必修课

学分：1

考核方式：Class involvement, homework, presentations, final paper

教学方式：Teaching and discussions

负责教师：Daniele Macuglia（马大年）

二、课程介绍：

This course will offer an advanced approach to qualitative and quantitative methods in history. The objective is to provide students with solid tools for shaping their training as historians. We will familiarize ourselves with useful concepts and techniques pertaining to archival research, computing, data mining, descriptive and inferential statistics, discourse analysis, ethnography, grounded theory, regression analysis, etc. Special attention will be given to computational methods and to the fast-developing field of the digital humanities. Students will engage in a variety of class activities under the supervision of the instructor, making use of both in-campus and off-campus resources.

三、课程大纲与参考文献

Each class is divided into two parts:

1) A one-hour lecture for the entire online community;

2) A one-hour discussion only with students taking the course for a grade.

The two parts are separated by a break.

The online community can simply follow the lectures with no reading requirements. At the end of each one-hour lecture, the instructor will offer a selection of recommended follow-up readings for the interested people.

Bibliography:

- Uwe Flick, An Introduction to Qualitative Research Sixth Edition (London: Sage, 2018 [1998]);

- Eileen Gardiner, Ronald G. Musto, The Digital Humanities: A Primer for Students and Scholars (New York: Cambridge University Press, 2015);

- Charles H. Feinstein, Mark Thomas, Making History Count: A Primer in Quantitative Methods for Historians (Cambridge: Cambridge University Press, 2012 [2002]).

Additional readings (such as research and methodological articles or links to online databases) may be assigned by the instructor.

Week 1: Intro to Qualitative Research (Thursday, May 6, 15:00-17:00)

- Flick, Introduction to Qualitative Research, parts 1-2

Week 2: Qualitative Research: Verbal, Visual, and Mediated Data (Thursday, May 13, 15:00-17:00)

- Flick, Introduction to Qualitative Research, parts 3-4.

Week 3: Qualitative Research: Data Analysis, Writing, and Integration (Thursday, May 20, 15:00-17:00)

- Flick, Introduction to Qualitative Research, parts 5-6.

Week 4: Quantitative Research & Computing: Elementary Statistical Analysis (Thursday, May 27, 15:00-17:00)

- Feinstein & Thomas, Making History Count, part 1;

- Gardiner & Musto, The Digital Humanities, chapters 1-2.3/3

Week 5: Quantitative Research & Computing: Samples and Inductive Statistics (Thursday, June 3, 15:00-17:00)

- Feinstein & Thomas, Making History Count, part 2;

- Gardiner & Musto, The Digital Humanities, chapters 3-4.

Week 6: Quantitative Research & Computing: Multiple Linear Regression (Thursday, June 10, 15:00-17:00)

- Feinstein & Thomas, Making History Count, part 3;

- Gardiner & Musto, The Digital Humanities, chapters 5-6.

Week 7: Quantitative Research & Computing: Deeper into Regression Analysis (Thursday, June 17, 15:00-17:00)

- Feinstein & Thomas, Making History Count, part 4;

- Gardiner & Musto, The Digital Humanities, chapters 7-8-9.

Final papers due by Friday, June 25, 2021.