For more details on the courses, please refer to the Course Catalog
Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
---|---|---|---|---|---|---|---|---|---|
LIS4011 | Advanced Information Literacy | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
This seminar introduces history of information literary and explores different models and methodologies related to information literacy. | |||||||||
LIS4013 | Knowledge Organization | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
This course provides a liguistic foundation necessary for the systematic organization of knowledge. It also addresses knowledge structure, representation and meanings. | |||||||||
LIS4014 | Seminar on Building and Managing Internet Services | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
The seminar concentrates on the principles of good web design and information architecture and effective management of websites. Other topics include HTML, XML, SGML, Doublin, Core, Resource Description, Firework. | |||||||||
LIS4017 | Advanced Archiving | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
Seminar in archiving focuses on the issues concerning the care and preservation of archive and the better administration of archive repositories to encourage relevant research. | |||||||||
LIS4018 | Korean Systematic Bibliography | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
Discussion of the korean successive catalogs classified by the times and the subjects. | |||||||||
LIS4020 | Advanced Information Services | 3 | 6 | Major | Bachelor/Master |
3-4
1-4 |
Library and Information Science | - | No |
This seminar concentrates on the typical, the new type and the appraial method of information service olganization. | |||||||||
LIS4022 | Advanced Web Based System | 3 | 6 | Major | Bachelor/Master | 1-4 | Library and Information Science | - | No |
The purpose of this class is to equip students with knowledge regarding concepts and technology related to designing Web-based information systems. The major topics of the course include the following: 1) introduction to semantic web, 2) impact of XML technology to industry, 3) Web services, 4) taxonomy, 5) ontology. | |||||||||
LIS4024 | Seminar on Information on Systems | 3 | 6 | Major | Bachelor/Master | Library and Information Science | - | No | |
This seminar deals with systems approach to building information systems. It focuses on techniques of analysis, design, and evaluation. | |||||||||
LIS4025 | Metadate Management | 3 | 6 | Major | Bachelor/Master | Library and Information Science | Korean | Yes | |
The topic "Metadata Management" addresses the standard of MDR and its framework, and study the semantics of data, the representation of data, and the registration of the descriptions of that data. | |||||||||
LIS4026 | Advanced in health data systems | 3 | 6 | Major | Bachelor/Master | Library and Information Science | - | No | |
This course is flipped class, which provides the overview of the lectures or group discussion questions and topics in advance. With the course material, students can be ready for the class. It is highly recommended that students actively participate in the class and group discussions. This course discusses the key characteristics, standards, and management of medical and healthcare data, and current health information technology-related issues, in particular, mobile technology, bioinformatics, public health informatics, online medical resources and medical information retrieval, medical imaging informatics, and disease management and disease registries. In order to utilize medical and healthcare database systems, the course practices MeSH and PubMed, discusses essential medical DBs and digital resources, including CINAHL (Cumulative Index to Nursing and Allied Health Literature), PsycINFO, Embase, ClinicalTrials, Cochrane etc. | |||||||||
LIS4028 | Advanced on Data curaction | 3 | 6 | Major | Bachelor/Master | Library and Information Science | - | No | |
This class explores the full range of health data curation lifecycle activities including collection, organization, management, evaluation, preservation, and sharing in the perspectives of both health service users and providers. This course discusses health data curation models, infrastructures, standards, privacy issues, policies, and practices in the perspectives of diverse stakeholders. | |||||||||
LIS4029 | Science of Science | 3 | 6 | Major | Bachelor/Master | 1-4 | Library and Information Science | - | No |
The course covers studies that apply data science approaches such as natural language processing, machine learning, visualization, and network analysis to scholarly data to derive insights. The covered topics include research metrics, science of career, science of collaboration and science of impact. | |||||||||
LIS5053 | Machine Learning Theories and Technologies | 3 | 6 | Major | Master/Doctor | 1-4 | Library and Information Science | Korean | Yes |
The course introduces fundamental and advanced theories and technologies used in supervised and unsupervised machine learning. Major machine learning problems such as classification, regression, clustering, and dimensionality reduction are discussed with representative algorithms. Recent advances and challenges in machine learning research are studied. | |||||||||
LIS5054 | Health Information Behavior | 3 | 6 | Major | Master/Doctor | Library and Information Science | Korean | Yes | |
This course examines information seeking behaviors: how individuals and members of various groups need, seek, provide, and use information in different contexts. It provides an overview of theoretical concepts and models relevant to understanding/researching information behaviors. It also provides practical frameworks for information professionals who wish to design and evaluate information systems and services that are user-centered. | |||||||||
LIS5055 | Health Data Science | 3 | 6 | Major | Master/Doctor | Library and Information Science | - | No | |
The course introduces data science methods for analyzing a variety of health data. Machine learning/data mining methods will be covered in the course including data pre-processing, feature engineering, prediction, clustering, dimensionality reduction. |