Based on the knowledge of how artificial intelligence and data will transform the landscape of the digital economy, this course enhances understanding of the structure and characteristics of national-level AI strategies. It also analyzes the systems of policies and governance at both national and global levels to learn about the interrelatedness of future policies and the dimensions of cooperation between global and national entities.

Building on a fundamental understanding of ecosystems such as symbiosis, interdependence, and completeness, this course explores the necessity and importance of AI ecosystems. It covers the roles and interactions of research personnel, data/infrastructure, startup ecosystems, collaboration with demand sectors, finance, and government support. Through domestic and international case studies, students gain practical experience in the clusters and hubs, which are policy tools for fostering upward interactions among industry, academia, and research institutions to create ecosystems.

This course focuses on understanding the question "Why the 4th Industrial Revolution?" through studying the history, concepts, and scholarly theories provided by authors such as Toinbee, Bell, Toffler, and Rifkin, which help differentiate the three previous industrial revolutions. It cultivates knowledge about the core technologies of the 4th industrial revolution, such as artificial intelligence, big data, cyber-physical systems, and neural networks.

To understand the government's policies and strategies for constructing accurate and clean data, which are essential for the advancement and widespread adoption of AI technologies, this course covers topics such as administrative information sharing and open government data. It also explores the entire value chain of national data, including collection, processing, storage, decision-making, analysis, and sharing, with a focus on extracting data produced by the private sector for public benefit to facilitate progress in the 4th Industrial Revolution.

Students learn about the basic principles and mechanisms of algorithms and explore academic concepts and case studies related to algorithm-driven recommendations and automated decision-making in real-life and business contexts. They also study the societal impact and issues related to diversity loss, reliability, accountability, and stability caused by algorithmic recommendations and automated decision-making. The course covers international and national policies and sub-concepts to address these issues.

This course examines the logical structure of rational decision-making and implementation for solving public problems with a focus on IT policies. It explores ways to resolve the complexity, uncertainty, and ambiguity of policy environments to enhance policy outcomes. The course also investigates the improvement and evolution of policy execution as part of the learning process.

The goal of this course is to develop an in-depth understanding of essential information resource management, particularly enterprise architecture, which is a key concept for planning national digitalization and e-government initiatives in the public sector.

This course aims to provide theoretical and practical knowledge about the global dissemination of e-government, which has been attracting significant attention in recent years. It covers the current status of global e-government in South Korea and explores important aspects to consider in planning and evaluating projects such as ODA initiatives.

This course examines the changes brought about by the recent development of information and communication technology, particularly the rapid transformation driven by artificial intelligence as a platform. It focuses on the changes in policy decision-making, production, delivery, and distribution of public services in the context of smart cities.

This course examines recent domestic and international changes related to cybersecurity and explores ways to develop sustainable cybersecurity policies in South Korea to ensure the continuity and safety of cyberspace. The course covers topics such as cybersecurity-related developments and the exploration of policy alternatives.

Given the significant economic and societal repercussions expected from the rapid growth of A.I. technology, this course explores the understanding and prospects of the A.I. phenomenon and investigates its overall impact on the information society. Additionally, it examines various emerging issues that arise with the proliferation of A.I. and explores policy measures to address them.

This course enhances understanding of the interaction between the internet and society through a technological and societal perspective on social media, which operates as a core component of Web 2.0. It covers theoretical and conceptual approaches to social media, including its media characteristics and platform implications. Furthermore, it studies the sociocultural implications of social media, such as social relationships, civic engagement, and public utilization, and encourages discussions on these topics

This course examines the development of information and communication technology, including AI, from a perspective that emphasizes balanced and sustainable progress from both technical and societal aspects. Specifically, it explores the viewpoint of humans and users rather than focusing solely on technological and supply-oriented perspectives. Through participation and experimentation, the course investigates the acceptance of services such as artificial intelligence services, autonomous vehicles, big data-based services, fintech, O2O, blockchain, and the Internet of Things (IoT).

This course is designed to provide the necessary knowledge, skills, thinking processes, and attitudes required in the process of selecting research topics, writing research proposals, selecting research methods and data, and ultimately writing master's or doctoral theses

This course covers policy discussions, problem formulation, the use of decision analysis in policy analysis, cost-benefit analysis and government policy decisions, general procedures and temporal analysis of cost-benefit analysis, criteria and methods for alternative evaluation based on cost-benefit analysis, estimation of costs and determination of discount rates, estimation and evaluation of policy impact, and more.

In this course, students learn about the comparative analysis of policies during policy formation, analysis of alternatives and effects, analysis of the effects of implemented policy processes, types and processes of policy evaluation, causal inference in policy evaluation, policy experiments, verification of policy hypotheses and estimation of effects, causal models in policy evaluation, management and utilization of policy evaluation, and more. This course provides students with the knowledge and practical skills necessary for evaluating governments, public institutions, projects, and programs.

This course teaches social science students the basic concepts and techniques of inferential statistics, including data organization, calculation of descriptive statistics, confidence intervals, hypothesis testing, and regression analysis as an advanced statistical technique.

In this course, students study multivariate analysis techniques such as econometrics and factor analysis, which provide useful analytical tools for contractual analysis of government and economic phenomena. The course covers the application and utilization of qualitative methodologies such as content analysis, in-depth interviews, focus group interviews (FGI), brainstorming, Delphi analysis, analytic hierarchy process (AHP), Q-methodology, as well as quantitative methodologies such as cost-benefit analysis, survey analysis, time series analysis, meta-analysis, panel data analysis, network analysis, text mining, topic analysis, simulation, and more

This course focuses on analyzing and understanding various administrative phenomena and cases using quantitative data. Students practice applying theories and analytical methodologies in public administration to real-life cases and develop them into research papers. Prior completion of courses in public administration theory, policy theory, and basic statistics is generally required for enrollment.

This course aims to analyze and understand various phenomena in information technology and communication using quantitative data. Students will practice integrating quantitative data in the IT field with relevant theories. Prior completion of courses in IT policy theory, public information technology research, and basic statistics is generally required for enrollment.

What is big data analysis? This course explores the meaning of big data analysis in the context of policy and how it can be utilized. Students will learn techniques for big data analysis and examine planning and utilization methods in policymaking.

In addition to big data analysis methodologies such as R or Python, students will learn various intermediate and advanced methodologies.

In this course, students learn the fundamental knowledge of public administration, which serves as the basic framework for solving public problems. It covers the basic knowledge of organizational administration, personnel administration, financial administration, as well as specialized knowledge in public administration such as e-government and performance evaluation.

This course provides an overview of public policy, specifically discussing the nature and development of public administration, organizational theory, personnel administration theory, financial administration theory, intergovernmental relations, policy science, administrative innovation theory, and Korean administrative ideology.

This course explores the new version of e-government, known as Government 2.0, which encompasses open government and the disclosure of public information after Web 2.0. Students examine the theoretical and practical implications and engage in discussions. They also examine the new technological challenges that governments will face in the future, such as big data, IoT, AI, and the corresponding policy issues and concerns. The course aims to foster the ability to assess these challenges and develop policy responses

This course aims to achieve a balanced integration of theory and reality by analyzing various administrative and policy cases that occur in the real world. Through seminars, it systematizes and theorizes accumulated experiences and knowledge to enhance the validity, acceptability, and practicality of public policies.

The objective of this course is to enhance understanding of the policy process and apply policy process theories to Korean policy cases. Students learn about the general understanding of the policy process and major policy processes used in policy science. They analyze policies of their own interest using policy process theories and write a thesis on the topic

By analyzing and studying various successful and failed domestic and international cases of policy formulation, implementation, evaluation, and feedback, this course cultivates the ability to understand the policy formation process

This course focuses on analyzing and researching various specific cases related to key topics in organizational management, such as the theory and techniques of organizational diagnosis, organizational management at the team and department levels, motivation of members, strategic development, and performance evaluation

The course explores values, personality, attitudes, stress, motivation, group and conflict management, communication, power and politics within organizations, organizational development, organizational culture, and other aspects of organizational behavior and leadership. It emphasizes understanding and analyzing organizational behavior and examines the role of leadership required for organizational managers through practical investigations, analysis, and diverse case studies

In the knowledge-based society, human resources development is considered a core asset for organizational development. This course examines various theories, systems, and strategies related to human resources development, particularly in the context of management development. It also analyzes the human resources development policies of the Korean government based on these foundations

Through various theories, this course helps understand the economic role of modern governments and the characteristics of public finance. Topics covered include the characteristics and structure of modern public finance, resource allocation under a market economy, market failure theory, public goods theory, public choice theory, cost-benefit analysis, income distribution theory, tax theory, macroeconomic fiscal theory, and local finance.

This upcoming course explores the theory and practice of government innovation emphasized in the public sector during the digital transformation era. It covers various theories, cases, and methodologies related to government innovation