For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| LIS3038 | Principles and Practice in Data Curation | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| This class explores the full range of data curation and management activities based on data life cycle. In teaches specific techniques required for the collection of data from research institutions, public offices and corporations, application of metadata for describing obtained data, deposit/storage at data centers/repositories, permanent data archiving and migration to newer technologies and formats. Students will be exposed to relevant institutional, national and international practices and policies. | |||||||||
| LIS3043 | Research Data Analytics | 3 | 6 | Major | Bachelor | 3-4 | - | No | |
| The scope of bibliometrics covers general theories dealing with important phenomena of regularities found in communication. Furthermore bibliometrics have and can be applied in a large number of context, for example science studies, research evaluation, knowledge management, environment scanning, tracing trends and development, optimizing library and information resources. The course aims to introduce bibliometric methods to students. The course also provides both theoretical and practical knowledge in the use of bibliometric analysis in various research areas related to their studies. The course will also meet the demand of refreshing and stimulation of the use of quantitative studies in the field of LIS and data science. The course will cover the following topics: • Review of the historical developments of Bibliometrics • Main bibliometric laws and regularities • Collecting bibliometric data • Organizing bibliometric data • Visualizing bibliometric data • Applying statistical data analysis to bibliometric data • Demonstration of tools and application areas | |||||||||
| LIS3046 | Knowledge Structure | 3 | 6 | Major | Bachelor | 3-4 | - | No | |
| The scope of bibliometrics covers general theories dealing with important phenomena of regularities found in communication. Furthermore bibliometrics have and can be applied in a large number of context, for example science studies, research evaluation, knowledge management, environment scanning, tracing trends and development, optimizing library and information resources. The course aims to introduce bibliometric methods to students. The course also provides both theoretical and practical knowledge in the use of bibliometric analysis in various research areas related to their studies. The course will also meet the demand of refreshing and stimulation of the use of quantitative studies in the field of LIS and data science. The course will cover the following topics: • Review of the historical developments of Bibliometrics • Main bibliometric laws and regularities • Collecting bibliometric data • Organizing bibliometric data • Visualizing bibliometric data • Applying statistical data analysis to bibliometric data • Demonstration of tools and application areas | |||||||||
| LIS3047 | Foundations of Information Analysis | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| Students in this course will learn basic information gathering and analysis principles. In practical terms, students will acquire essential data manipulation and analysis techniques using a spreadsheet program which is a lowest common denominator in most industries. Students will have an opportunity to be exposed to a range of fundamental information analysis frameworks and apply them in simulated environments. | |||||||||
| LIS3049 | Global Data Science Camp | 3 | 6 | Major | Bachelor | 3-4 | - | No | |
| In this course, students have the opportunity to visit a overseas sister iSchool under faculty supervision, take lectures and make field visits learning LIS and data science theories and developing practical capabilities. | |||||||||
| LIS3050 | Designing Next Generation Systems | 3 | 6 | Major | Bachelor | Korean | Yes | ||
| The course covers fundamentals of metadata, metadata building blocks including design and implementation details, metadata services, the role of metadata in the Web of Data, and metadata outlook in research. The main objective of this course is to equip students with essential knowledge and skills needed to create sound and interoperable application profiles (APs), which constitute an important infrastructure for the next generation information systems and services. Students also learn the role of linked data in the metadata landscape. Implementations of metadata schemas and APs will be done using XML technology. The course focuses on providing students with knowledge of how to achieve syntactic and semantic interoperability among diverse metadata, APs and linked data. | |||||||||
| LIS3052 | Designing Semantic Systems | 3 | 6 | Major | Bachelor | - | No | ||
| The purpose of this course is to provide student with ability to implement Semantic systems in order to offer better information services to users. The concrete topics to be covered in this class are as follows: W3C Resource Description Framework (RDF), RDF Schema, W3C Web Ontology Language (OWL) Lite, OWL DL, OWL Full, and methodology of creating sound ontologies. | |||||||||
| LIS3054 | StatisticsⅡforDataAnalysis | 3 | 6 | Major | Bachelor | 3-4 | - | No | |
| Dataanalysisforbasicstatisticsisapre-requisteforthiscourse.ThiscourseusesSPSSwhichisoneofthemostwidelyusedstatisticalpackage,basedontheknowledgeoftheoriesandconceptsfordataanalysis.Studentswilllearnfoundationofapplicationstatisticsincludingfrequencyanalysis,analysisofvariance(ANOVA),multivariateanalysis(MANOVA),andregressionanalysis,andpracticedifferentcasesaccordingtoattributesofthedataandmethodology. | |||||||||
| LIS3055 | Statistical Analysis of Public Data | 3 | 6 | Major | Bachelor | 3-4 | - | No | |
| The course objective is to understand and solve community problems by statistically analyzing diverse types of public data. In particular, we learn inferential statistics necessary to analyze public data related to local communities. The detailed learning objectives are as follows: 1. Students can learn how to search and collect diverse public data related to a community, connect and process them, and prepare them for statistical analysis; 2. Students can learn inferential statistics as well as research methods for public data analysis; 3. Students can learn learn how to model social phenomena and statistically analyze them using public data; 4. Students can acquire practical experience by collecting and statistically analyzing actual public data to understand and solve the real-world social problems of their own interests. | |||||||||
| LIS3056 | Community Data Analysis and Visualization | 3 | 6 | Major | Bachelor | 3-4 | - | No | |
| Community analysis is an effective way to gather data about the community, identify community needs and issues, perform analysis and offer solutions. The following are specific objectives for this course: 1. Students are able to acquire necessary quantitative and qualitative data from various public data sources as well as from local sources; 2. Students are able to acquire commonly used analytical methods for community analysis; 3. Students are able to acquire GIS mapping and other visualization techniques for effective communication of analysis; 4. Students are able to critique existing community analysis projects and perform real world project | |||||||||
| LIS3057 | Health Information System for Aging Society | 3 | 6 | Major | Bachelor | - | No | ||
| This course addresses the social changes resulting from the aging society and aims to understand the health information needs of the elderly population and propose strategies to enhance health information behavior. It covers the design, development, and usability evaluation of health information systems and digital health systems. Upon completion of this course, students will be able to... 1. Understand the theories and models of elderly individuals' health information needs and health information behavior. 2. Comprehend and assess the health information literacy and digital information literacy of the elderly population. 3. Investigate and evaluate various types of digital health systems for the elderly. 4. Design and evaluate digital health systems tailored for the elderly population. | |||||||||
| LIS4005 | Advanced Management of College and University Library | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
| This seminar concentrate on resources, service, system, policy of the university Library. | |||||||||
| LIS4006 | Advanced Management of Libraries | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
| Discussion of the general mnagement in the library, including planning, stoff, personnel, finance and appraisal. | |||||||||
| LIS4009 | Seminar on Information Behavior | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
| This course provides an comparative overview of theoretical approaches that are relevant to understanding human bevaviors. Special emphasis is on cybernetics based on cognitivism and general behaviorism. | |||||||||
| LIS4010 | Seminar on Information Society | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
| This seminar provides an intelligent survey of theories and practical issues related to scholarly and professional information services and institutions. | |||||||||