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 | Korean | Yes | |
| 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. | |||||||||
| MCJ5122 | Network Analysis for Communication Research | 3 | 6 | Major | Master/Doctor | 1-4 | Media and Communication | - | No |
| 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 | - | No | |
| 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. | |||||||||
| PSY4002 | Computational Cognitive Sciences | 3 | 6 | Major | Bachelor/Master | 2-3 | - | No | |
| This course is an introduction to computational approaches to human cognition in an advanced level. This course covers computational models of knowledge representation, learning and reasoning founded on artificial intelligence and Bayesian framework. Students mainly learn materials from lectures, in-class activities and homework. This course is designed for graduate students and highly motivated 4th year undergraduate students, who are well equipped with statistics and computer programming. | |||||||||
| PSY4003 | Neuroimaging Research Methods | 3 | 6 | Major | Bachelor/Master | 1-2 | English | Yes | |
| This course focuses on learning about non-invasive neuroimaging methods used in cognitive neuroscience research. Students will learn the principles of functional (fMRI, EEG) and structural (dMRI, sMRI) neuroimaging methods, as well as data analyis procedures and how these methods can be utilized to further our understanding of traditional psychology research topics. Course is designed incorporate a combination of lecture and hands-on data analysis sessions for graduate students and highly motivated undergraduate students who had completed [Cognitive Psychology] and [Statistical Analysis in Psychology]. Students are encouraged to take [Brain and Mind] or [Neuroscience of Human Behavior] before signing up. | |||||||||
| PSY4004 | Developmental Psychopathology | 3 | 6 | Major | Bachelor/Master | - | No | ||
| Developmental Psychopathology studies psychopathology based on developmental perspective with a goal of clarifying developmental pathways of various psychopathologies. Such research can provide critical knowledge on how psychopathologies development and change across the lifespan that contribute to effective preventive strategies. This course is a seminar course that involves heavy weekly article readings, presentation, and disucssion. The course is designed for graduate students and undergraduate students who have taken various basic and applied courses in psychology including [Abnormal Psychology] and [Clinical Psychology]. | |||||||||
| PSY4006 | Advanced Industrial Psychology | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course covers various contents of industrial psychology including job analysis, employee selection, and performance appraisal in an intermediate level. Students will also practice these techniques in and outside classroom. The class will consist of lecture, discussion, and project/presentations. This class is for undergraduate and graduate students who have completed industrial psychology. | |||||||||
| PSY4007 | Multivariate analysis and statistical learning | 3 | 6 | Major | Bachelor/Master | Korean | Yes | ||
| This course covers principles and practice of multivariate data analysis in psychology and related fields. Applications of multiple regression, logistic regression, principal component analysis, factor analysis, cluster analysis and other multivariate techniques for psychological research will be illustrated. In addition, supervised learning and unsupervised learning will be discussed in relation to the multivariate techniques. This course is designed for graduate students or 3rd- or 4th-year undergraduate students in psychology. | |||||||||
| PSY4008 | Psychology of Communal Life | 3 | 6 | Major | Bachelor/Master | 1-4 | - | No | |
| This course reviews major theories and empirical research in the psychological study of communal living. Students will learn how knowledge gained in social and community psychology can be integrated into the long-lasting philosophical debates on the nature of the relationship between the individual and the community. From this, students will have opportunities to develop insights into how to resolve important social issues directly relevant to the co-flourishing of individuals and the community, such as political behavior, social stratification, intergroup conflict and discrimination. | |||||||||
| PSY4009 | Leadership diagnosis and evaluation | 3 | 6 | Major | Bachelor/Master | 4 | Korean | Yes | |
| This course covers a number of leadership theories, and then various theories and methods on leadership competency diagnosis and evaluation. Specifically, students will learn how to develop multi-source feedback, behavioral event interview, Assessment Center, Development Center, and how those methods are applied in the actual organizational settings. | |||||||||
| PSY4010 | Theories of Development | 3 | 6 | Major | Bachelor/Master | - | No | ||
| In this course, students will learn the components of theories unique to developmental psychology. Specific theories include those developed by Piaget, Vygotsky, Erikson, Kohlberg, Freud, Chomsky, Ainsworth, Skinner and Bandura. Additionally, students will learn the origins of theories, the relations between the theories and their consequences for acquiring future knowledge. This course will be delivered through lecture and student discussion. | |||||||||
| PSY4011 | Research Methods in Developmental Psychology | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course covers data collection methods in developmental research. Additionally, students will learn about the response biases and ethical issues involved in researching children. | |||||||||