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Graduate Program

Curriculum

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
SIC5015 Future Technology, Future Humans, Future Politics 3 6 Major Master/Doctor - No
The developments of modern technology rapidly transform our perspectives and approaches to humans, society, and politics. The extant concepts of human existence, society and politics reveal crucial limitations in dealing with the changes the modern technologies daily bring about. At the same time, those technologies provide us with new tools to illuminate our social and political problems from a fresh perspective and reflect on our handling strategies. Starting from this observation, this course discusses necessary and desirable developments in our values and social and political institutions in the future.
SIC5016 Data Processing & Visualization 3 6 Major Master/Doctor - No
Students will learn structured data analysis and visualization methods using computer program. Programming language relevant to computer software for visualization will be also taught.
SIC5019 Intelligent Information Technology and Consumer Studies 3 6 Major Master/Doctor - No
With the aim of understanding the changes in the consumer information environment and new consumer issues, this course deals with the interaction between consumers and intelligent information technologies such as IoT, big data, and artificial intelligence, and further address emerging consumer needs and consumer issues including the digital divide and ethics in a new information environment.
SIC5020 Longitudinal Data Analysis 3 6 Major Master/Doctor - No
This course covers empirical frameworks for drawing causal inferences from longitudinal data. Topics include longitudinal study design, exploring longitudinal data, random effects and fixed effects models; and quasi-experimental research design such as diff-in-diffs regression, propensity score matching, and regression discontinuity design.
SIC5021 Social Big Data Analysis 3 9 Major Master/Doctor Korean Yes
This course aims to provide the students with a knowledge and skill about how to collect, save and analyze online text data. Specifically it seeks to help students scrap and crawl text data via online news sites, blogs, and SNS and analyze the data using unsupervised machine learning techniques. It focuses on how to use beginners or intermediate levels of natural learning process (NLP) techniques and how to visualize the corpus. The analyzes center around probabilistic topi models in different levels, ranging from LDA, to DTM and ETM. This course is designed to help students apply the techniques obtained to the data the students themselves crawl and write a research note that could potentially be submitted for journal publication.
SIC5022 Predictive Modeling using Regression Analysis 3 6 Major Master/Doctor - No
This course offers an introduction to predictive analytics and statistical learning using regression techniques. Students will be exposed to technical aspects of regression analysis, model selection, regularization, and data pre-processing, and learn how to use a programmable software in estimating and validating predictive models. This course prepares students for a more advanced course in machine learning.
SIC5023 Children’s education and social change 3 6 Major Master/Doctor - No
As the social environment changes, children’s educational systems and methods, access and demand for education are changing, and educational disparities are widening. On the other hand, we can lead social change in the desired direction through children’s education. Theories and examples of these two directions will be examined, and educational gaps and solutions will be discussed based on data.
SIC5024 The Analysis of Social Problems 3 6 Major Master/Doctor - No
This course examines various social problems in modern Korean society from a sociological perspective and includes the following four factors: First, this course introduces various social problems of Korean society, such as generational conflict, class conflict, gender conflict, racial discrimination, bullying in schools, domestic violence, sex crimes, and aging. Second, this course explores the causes of these social problems through sociological theories and perspectives. Third, it reviews methodologies for analyzing and solving social problems through quantitative (e.g., small data and big data analysis), and qualitative (e.g., in-depth interviews and focus group interviews) methods. Fourth, this course discusses the policy implications for solving social problems.
SIC5025 Family Crisis Poverty and Children 3 6 Major Master/Doctor - No
This class introduces students structural problems and crisis within the various family situations and its relations to social economics status, cultural background and gender. In particular, the influences of family crisis on children and adolescent’s development and mental health.
SIC5026 Social Innovation Theory and Case Studies 3 6 Major Master/Doctor Korean Yes
This course introduces students to the theories and case studies of social innovation. Students will be provided with perspectives to approach social problems in novel ways by reviewing the relevant readings and case studies on social innovation. The course is organized into three parts. The first section provides theoretical backgrounds including concepts, history, and the different perspectives on social innovation. The second section emphasizes crucial agents of social innovation including the market, government, the nonprofit sector, and international society. The third section offers students a chance to understand the challenges and possibilities in social innovation by presenting a case study of their own research interests.
SIC5028 Machine Learning with Python 3 6 Major Master/Doctor Korean Yes
This course aims that students implement machine learning algorithms with Python programming. In the beginning of this course, students will learn the basics about Python programming. In the latter part, students will implement various machine learning algorithms such as supervised and unsupervised learning with Python so that they could exactly understand the algorithms.
SIC5029 Sustainable Consumption 3 6 Major Master/Doctor Korean Yes
Analyze interaction between consumption and environment and discuss methods to realize sustainable consumption.
SIC5030 Child and Family: Risk, Human Right, and Health 3 6 Major Master/Doctor - No
This course will provide an overview of theoretical issues pertaining to the study of child and adolescence health in contexts of family risk and protective factors. We will begin by discussing various approaches to conceptualizing exposure to risk and adversity. Further, we will review theoretical frameworks and recent empirical studies to improve the understanding of developmental processes, comorbidity, preventive intervention, and individual and family rights that are associated with health outcomes.
SIC5031 Risk Behaviors and Resilience in Adolescence and Adulthood 3 6 Major Master/Doctor - No
The course focuses on risk behaviors and resilience in adolescence and adulthood. Emphasis is on examining adolescent’s and adult’s risk behaviors from developmental and ecological perspectives. We will review theoretical frameworks and current methodological application based on recent empirical studies. In addition, we will discuss developmental pathways of various risk behaviors, cooccurrences with mental health. Lastly, multilevel contexts that influence resilience in adolescence and adulthood will be discussed.
SIC5032 Child care and education 3 9 Major Master/Doctor Korean Yes
This course looks for risks and issues in the reality of child care and education and discusses the direction and policies of child care and education and the roles of communities to solve them.