This compulsory general foundation course is designed for international master’s and doctoral students. Centered on literature information retrieval throughout the full research lifecycle, it is a scientific methods course integrating theory, methodologies and hands-on practice to foster students’ innovation capacity. The course systematically introduces the library’s English academic resource system, enabling students to master approaches to acquiring various foreign-language literature and build a solid foundation for research information retrieval. Incorporating the use of intelligent tools in the AI for Science context, it presents how AI tools empower literature mining across the entire research cycle. Students will learn to evaluate the credibility of information sources and data reliability, identify potential academic risks of AI-generated content, and develop awareness of research ethics.
Key contents include:
(1) Full research workflow and literature retrieval (Chapters 1 and 2);
(2) Retrieval methods and access channels for different types of literature resources (Chapters 3, 4, 5, 6 and 7);
(3) Comprehensive practical training (Chapter 8).
- Teacher: jinhui han
- Teacher: hua he
- Teacher: ying qin
- Teacher: Shu-Ju Diana Tai
- Teacher: Admin User
- Teacher: Yongsheng Wang
- Teacher: huiqing zhang
- Teacher: yuanjing zhang






