For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| COV7001 | Academic Writing and Research Ethics 1 | 1 | 2 | Major | Master/Doctor | SKKU Institute for Convergence | Korean | Yes | |
| 1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers. | |||||||||
| GSP5241 | Spatial Modeling for Social Science Research | 3 | 6 | Major | Master/Doctor | Public Administration | - | No | |
| Spatial dependence is prevalent in the society. Geographically proximate individuals, groups, and localities have similar characteristics and behave similarly via spillover effect. Also, the local governments that are closely located often pursue similar policy directions as they are affected by each other. This class aims to explore how to apply spatial dependence in social science research. The class topics include the concept and origin of spatial dependence, global/local spatial analysis, visualization of spatial dependence, and various spatial regression models such as spatial lag, spatial error, geographically weighted regression, and spatial Durbin. | |||||||||
| HRD5001 | Culture of the Self | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course provides a comprehensive review of social psychological research on the self and offers an integrated framework to study the links between the self, cognition, emotion, and behavior. An emphasis is given on the cross-cultural implications of the existing literature, and the directions for future studies designed to better understand how culture affects the development and maintenance of self in the Korean society. | |||||||||
| HRD5007 | Learning and Understanding | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| Various aspects of learning will be explored. Specific emphasis will be on finding the ways to improve deep understanding of the material learned. In addition, culture bounded ways of instruction will be emphasized in the course. In most of the classes, students will discuss research articles on the topic. Implementing the cultural differences in cognitive processing on instruction will be encouraged. | |||||||||
| HRD5013 | Leadership Competency Diagnosis and Development | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course reviews various theories and models in leadership, and studies various methods of diagnosing and developing leadership competencies. In addition, leadership processes will be discussed from cross-cultural perspectives. | |||||||||
| HRD5014 | Organizational Culture Change | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course studies processes of organizational culture change to adapt and survive in the turbulent external environment. Specifically, this course reviews definitions, models of organizational culture, stages of culture change, company-wide organizational transformation processes, resistance to change, and importance of leadership roles. | |||||||||
| HRD5017 | Child Abuse and Neglect | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course will provide a broad overview of the topic of child abuse and neglect. Including the assessment and treatment of physical abuse, emotional abuse and neglect. This course will also deal with the nature, causes, consequences, and societal responses to institutional and individual forms of child maltreatment. Students aim to propose legal, legislative and social reform in light of their social science understanding of violence against and by children. | |||||||||
| HRD5037 | Social Skill Training | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course will provide advanced social techniques for establishing successful interpersonal relationships. In particular, the focus of this course will be given to peer interactions in school, work and community settings. | |||||||||
| HRD5038 | Selection and Maintenance of the Talent | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| Selection and maintenance are two most important topics in talent management. The concept of fit between individuals and organizations will be examined to explain selection and maintenance. Students are required to understand similarity fit and complementary fit in their relations with organizational effectiveness such as productivity and achievement of strategic goal. | |||||||||
| HRD5056 | Development of Behavioral Competency | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course has a focus on non-cognitive or behavioral competencies required in industrial settings. Variety of practical techniques will be taught as tools for development of behavioral competencies such as attitude, motivation, supervision, and role. | |||||||||
| KID5162 | Systematic Phenomemology | 3 | 6 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| ESM is called Systematic Phenomenology because it departs from pure phenomenology by combining a focus on lived experience with an attempt to use the tools of empirical investigation-inculding available technoloties, research designs, and statistical analyses. Experiential data in different context are collected using mobile phone applications. Theoretical foundation and practical usage of this method will be explored with exisiting and to be collected data. | |||||||||
| MCJ5122 | Network Analysis for Communication Research | 3 | 6 | Major | Master/Doctor | 1-4 | Media and Communication | Korean | Yes |
| The primary goal of this course is to explore theories and concepts of network analysis in communication perspectives. Moreover, this course will practice with data and network analysis programs to show how network analysis can be used to understand various communication phenomena and problems. | |||||||||
| MCJ5128 | Meta-Analysis | 3 | 6 | Major | Master/Doctor | 2-4 | Media and Communication | - | No |
| Meta-analysis refers to the quantitative analysis of study outcomes. Meta-analysis consists of a collection of techniques that attempt to analyze and integrate effect sizes (indices of the association between an independent variable and a dependent variable) that accrue from research studies. This course deals with the process of performing meta-analysis and how to interpret analysis results. Students will have an opportunity to conduct meta-analysis on research topics of interest using meta-analysis software and to write a research paper based on the analysis results. | |||||||||
| PSD5113 | Future Social Risks and Political Theory | 3 | 6 | Major | Master/Doctor | Political Science | Korean | Yes | |
| This course diescusses the new developments in future, the risks they bring about and proper strategies for coping with them. The topics include the climate changes, natural disastors, demographic changes, new discoveries and developments in sciences and technologies and their impacts on our society. The goal of this course is to deliberate on how to react to those changes and challenges properly, which may determine the tufure of individual societies as well humankind. | |||||||||
| PSD5120 | Data Science and Study in Political Science) | 3 | 6 | Major | Master/Doctor | 1-4 | Political Science | - | No |
| The scientific study of political science has been one of the most noted fields that so-called `big data revolution’ and a rapid development in computational approaches have changed the way we understand our world. This course aims at introducing fundamental techniques of data science from a social science perspective, with a focus on political science. In this course, we will discuss a set of cutting-edge methods related to data science, including text analysis/mining, network analysis, machine learning, information extraction methods and data visualization techniques. We will then shift to an in-depth discussion on how to apply them to various research topics in politics such as political behavior, the roles of media and interest groups, and more. Students will also learn basic data analysis tools using R programming language or Python through problem sets. | |||||||||