Teaching

Courses Designed and Taught as Instructor

1. IS_LT 9439: Digital Humanities and Information. University of Missouri, Fall 2024.
   Average Course Evaluation Score: 4.61/5.00.
   Course Description: This graduate course introduces the emerging field of digital humanities, with a particular focus on its relationship to information. The course is organized around weekly topics that explore the use and application of emerging technologies and methods in humanities scholarship. Topics include methods such as data visualization, spatial analysis, text encoding, network analysis, and machine learning, among others, as well as conceptual themes like debates and critiques within digital humanities, recent developments in AI, and the contributions of digital humanities to various fields. These fields include established humanities disciplines like literature and history, adjacent disciplines in the social sciences, and libraries.
   The course adopts a comprehensive approach, combining synchronous and asynchronous sessions. Through engaging readings, discussions, lab assignments, and a semester project, students will gain a broad understanding of the field of digital humanities. They will also acquire hands-on experience with basic digital technologies and computational methods for data analysis, and develop skills in critically analyzing and reviewing research projects or in proposing and conducting their own. This course aims to prepare students to navigate the opportunities and challenges they will encounter in future roles in librarianship and other information professions, particularly in areas that engage or support activities related to digital humanities.
   Course Syllabus: Syllabus-Digital Humanities and Information
2. IS 310: Computing in the Humanities. University of Illinois Urbana-Champaign, Fall 2023.
   Average Course Evaluation Score: 4.62/5.00 (ranked as excellent by students).
   Course Description: This advanced undergraduate course explores the use and application of emerging technology and methods in scholarly activities in the humanities. Using the Python programming language, the main part of the course is organized around method-driven weekly topics, including data collection, data visualization, spatial analysis, text encoding, network analysis, machine learning, and text analysis, among others. Additionally, the course covers conceptual themes such as debates and critiques surrounding digital humanities and examines how computational methods contribute to established humanities disciplines such as literature and history, as well as adjacent disciplines in the social sciences.
   The course adopts a comprehensive approach, blending lectures, seminars, and labs. Through engaging readings, dynamic class discussions, programming assignments, and a semester project, students gain a comprehensive overview of the research field of computing in the humanities. They also acquire hands-on experience in utilizing Python for data analysis, especially in the context of humanities topics. Moreover, students are exposed to the entire lifecycle of conducting research on a self-defined topic in computing in the humanities.
   Course Syllabus: Syllabus-Computings in the Humanities

Other Courses Taught as Instructor

1. IS_LT 7301: Library and Information Technology. University of Missouri, Spring 2025.
2. IS_LT 9085: Problems in Information Science and Learning Technology (independent study). University of Missouri, Spring 2025.

Courses Taught as Teaching Assistant

1. IS 455: Database Design and Prototyping. University of Illinois Urbana-Champaign, Summer 2023.
2. IS 310: Computing in the Humanities. University of Illinois Urbana-Champaign, Spring 2023.
3. Information Organization. Peking University, Spring 2019.
4. Information Storage and Retrieval. Peking University, Fall 2018.
5. History of Chinese Books. Peking University, Spring 2017.

Workshops Taught as Instructor

1. ERGM and Network Simulation. Historical Network Research in Chinese Studies Conference, July 2021.
   Hosted by the Fairbank Center for Chinese Studies, Harvard University.

Guest Lectures Delivered

1. Interplays Between Materiality and Content in Late Imperial (1500–1899) Chinese Books. Presented in IS_LT 9428: History of Books and Media, School of Information Science & Learning Technologies, University of Missouri, June 2025.
2. From Databases to Digital Prosopography: Applications and New Frontiers in Digital History. Presented in Sources of the Greco-Roman World and Digital Humanities, Department of History, Peking University, March 2025.
3. Experience Sharing for First-Year Information Management Students. Presented in Introduction to Information Management, Department of Information Management, Peking University, December 2024.
4. Career Planning for Library and Information Science Professionals. Presented in Seminar on Publishing Trends and Library Trends, Department of Information Management, Peking University, December 2024.