Teaching

Information Retrieval examines the principles and practices that shape how search systems represent, retrieve, rank, and evaluate information. The course covers foundational IR models, user interaction, relevance assessment, and system evaluation, while also connecting these concepts to contemporary AI-powered and neural search technologies. Through lectures, discussions, and system review projects, students develop the ability to critically analyze search systems and consider their design, performance, transparency, and social implications in the AI era.

LIS3058 Elderly Health Information Behaviors examines how older adults seek, share, evaluate, and use health information in everyday and healthcare contexts. The course explores the demographic, psychological, and social characteristics of aging populations, as well as key issues such as health information needs, health literacy, barriers to access, the digital divide, caregiver roles, and the design of elder-friendly health information systems. Through readings, discussions, literature review, and applied projects, students learn to critically analyze elderly health information behaviors and propose strategies or system improvements that can better support older adults’ health-related decision making and quality of life. 

• 2026 2nd Semester Course Syllabus

LIS5001 Research Methods introduces graduate students to the logic and practice of research design in Library and Information Science. Rather than focusing primarily on statistical techniques, the course emphasizes the systematic connections among research questions, theory, methodological choices, data generation, and ethical considerations. Students learn to analyze published LIS studies, compare qualitative, survey-based, structured, and design-oriented methods, and make informed methodological decisions for studying information phenomena. Through article analysis, literature review writing, peer feedback, and a research direction statement, students develop the ability to design and articulate a well-structured research proposal suitable for graduate-level thesis or dissertation work. 

LIS4009 Information Behaviors introduces students to theories, models, and research approaches for understanding how people seek, use, share, and interact with information in diverse contexts. The course examines information seeking as a fundamental activity that supports problem solving, decision making, and knowledge creation, while emphasizing its importance for user-centered information services, systems, and technologies. Through self-analysis, user-group presentations, and a small-scale research project, students learn to apply information behavior theories, analyze the needs and practices of specific user groups, and consider implications for the design of effective information products, services, and systems. 

Data Curation introduces students to the core concepts, frameworks, and professional practices of digital and data curation. Using the data lifecycle model as a conceptual foundation, the course examines how data can be actively managed across its entire lifecycle—from design, creation, appraisal, acquisition, preservation, and storage to use and reuse. Students learn to distinguish between data and digital curation, analyze preservation policies and planning strategies, understand collaborative infrastructures for data sharing and reuse, and apply curation principles to real-world data management contexts in libraries, archives, research institutions, and open data environments.