For more details on the courses, please refer to the Course Catalog
Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
---|---|---|---|---|---|---|---|---|---|
LIS5018 | Advanced Information Retrieval | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
This seminar provides advanced understanding of information retrieval systems and their analysis. Students will build experimental database retrieval systems and develop retrieval techniques. | |||||||||
LIS5020 | Seminar on Information Literacy | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
This seminar addresses structuralism and critical thinking that are fundamental to information literary. Students will learn theories, techniques and standards with which they can design information literacy based instructional process and content. | |||||||||
LIS5022 | Advanced Designing Database | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
The main purpose of this course is to provide students with knowledge regarding how to develop sound database designs using Entity-Relationship (ER) model. The specific topics to cover include the following: 1) the relational model, 2) the relationships between ER and relational model, 3) normalization process to create sound relational tables, 4) structured query language (SQL), which is an ANSI standard language for data definition and manipulation on the relational DBMS, 5) the relationships between ER-diagramming and relational implementation, 6) advanced data modeling using Universal Modeling Language (UML), and 7) introduction to Topic Maps. | |||||||||
LIS5024 | Advanced Designing Web-Based Database Systems | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
This seminar will discuss the technologies related to intergrating the Web and DBMS in order to create dynamic Web pages.The main focus of the seminar will be on available technology used in designing various search interfaces, effective data entry, updating, and deleting via the web. Each student will be required to complete his or her own Web DB project that has practical uyility. Understanding of HTML and database design is pre-requisite and assumed. | |||||||||
LIS5025 | Seminar on Statistical Analysis and Interpretation | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
The purpose of this course is to provide students with understanding of social science research methodology and to help students to acquire competency in statistical analysis methods commonly used in the LIS research. Students will learn how to use SAS program to conduct basic statistical analyses and to understand how to interpret SAS output. They will also learn how to relate research designs to statistical analyses and the issues related to evaluating information. | |||||||||
LIS5031 | Seminar on Manuscript | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
Discussion of the definition, characteristics and the value of the main copies by the times and kinds. | |||||||||
LIS5035 | Scholarly Information Services | 3 | 6 | Major | Master/Doctor | 1-4 | Korean | Yes | |
This course facilities the understanding of the process of producing and disseminating scholarly information. Special emphasis is on the networked informaion provision environment and understanding various stakenolders. | |||||||||
LIS5037 | Seminar on Information Policies | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
This seminar deals with various information policy areas that affect libraries, information and communication technologies. It provides a comparison of policies in different countries and in different time periods. | |||||||||
LIS5042 | Seminar on Library Evaluation | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
This course will discuss ways to improve quality of library services through various evaluations, which includes evaluation of easiness and convenience in using libraries, usefulness of library services, collection quality, reference services, and other libary services. | |||||||||
LIS5047 | Seminar on Bibliography | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
Discussion of the main issues of bibliographic study. | |||||||||
LIS5048 | Seminar on Designing Semantic Web Systems | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
The purpose of this seminar is to investigate what advantages we can achieve by constructing Semantic Web-based systems compared to the current information systems. 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. ISO Topic Map will also be covered in depth in this course. | |||||||||
LIS5049 | Seminar on Human Information Behavior | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
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. | |||||||||
LIS5051 | Seminar on Information Service Methodologies | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
In this seminar, students are exposed to a wide range of research that sheds light on the evolving nature of information services in different contexts. Students will be equipped with methodologies that can help plan innovative services, understand user needs and execute systematic evaluation of services. | |||||||||
LIS5052 | Programming Languages | 3 | 6 | Major | Master/Doctor | Korean | Yes | ||
This course teaches concepts of computing and programming using programming languages. Programming languages are studied as a tool for scientific research. The goal of the course is to teach how programming languages can be used as a tool to implement and validate research ideas in various information science research. | |||||||||
LIS5053 | Machine Learning Theories and Technologies | 3 | 6 | Major | Master/Doctor | 1-4 | 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. |