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Course & 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
SIC5021 Social Big Data Analysis 3 9 Major Master/Doctor Convergence for Social Innovation 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 Convergence for Social Innovation - 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.
SIC5024 The Analysis of Social Problems 3 6 Major Master/Doctor Convergence for Social Innovation - 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.
SIC5026 Social Innovation Theory and Case Studies 3 6 Major Master/Doctor Convergence for Social Innovation 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 Convergence for Social Innovation 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.
SIC5034 Hierarchical Linear Modeling 3 6 Major Master/Doctor 2-8 Convergence for Social Innovation English Yes
The purpose of this course is to develop the skills necessary to identify an appropriate technique, estimate models, and interpret results for independent research and to critically evaluate contemporary social research using hierarchical linear modeling. Social research focuses on issues that examine the relationship between individuals and the social contexts in which they work, live, or learn. This involves multilevel research, which investigates individuals within groups. In multilevel research, the nature of the data structure is hierarchical. For example, in educational research, the data typically consists of schools and pupils within these schools. In this example, pupils are nested within schools. When analyzing multilevel data, we need special statistical skills and techniques, because single-level analysis of multilevel data brings about misleading standard errors and significance tests. The hiearchical linear modeling addresses this issue, accurately dealing with a hierarchical data set, often individuals within groups. This course will be applied in the sense that we will focus on estimating models and interpreting the results, rather than understanding in detail the mathematics behind the techniques.
SIC5035 Multivariate Regression Analysis 3 6 Major Master/Doctor 1-8 Convergence for Social Innovation Korean Yes
Introduction to data analysis via linear models. Topics include basic assumptions of the linear model, methods for transforming data, estimation and interpretation of the classical linear model, derivations of the estimators of interest, and diagnostics of results and/or potential fixes for violations of assumptions. This course lays the foundations for more advanced statistical modeling techniques used in data science and academic research.
SIC5038 Longitudinal Categorical Data Analysis 3 6 Major Master/Doctor 1-8 Convergence for Social Innovation Korean Yes
This course will cover the foundations of longitudinal categorical data. Upon successful completing of this course, students will be able to (a) understand the types of hypotheses and research questions for which categorical data analytical produces are used, (b) perform number of cross sectional and longitudinal analytical procedures including regression with binary, ordinal, and multinomial outcomes, survival analysis, (first- and second-order) growth curve modeling with categorical data, and (c) read and evaluate research articles regarding testing of for which cross-sectional and longitudinal categorical data analytcial procedures are used. The course topics are as follows: Review of basic regression model. Introduction to Logistic and Profit Regression. Introduction to Count Data. Introduction to Latent Growth Model. Latent Class (Transition) Model. Growth Mixture Model with categorical data. Introduction to Survival Analysis.
SOC2001 Sociological Theory 3 6 Major Bachelor 2-3 Korean Yes
Classical theorists who have contributed to the birth and growth of sociology (e.g. Comte, Marx, Durkheim, Pareto, Weber, etc.) will be introduced, and their influence on the formation and development of modern sociological theories will be scrutinized. And then, major perspectives of modern sociological theory--functionalism, conflict theory, social exchange theory, symbolic interactionism, and ethnomethodology--are introduced. Emphasis is laid on the critical evaluation of major theorists' works.
SOC2002 Social Stratification 3 6 Major Bachelor 2-3 Korean Yes
The aim of this course is to help the students to obtain a systematic and comprehensive understanding of the structural inequality in a society. The course covers a variety of theoretical perspectives related to social stratification and class, methodological approaches frequently used for stratification research including mobility table analysis and structural equation models, various forms of stratification system, process and consequences of stratification, and social mobility. Needless to say, those phenomena related to social stratification in Korean society is one of the main concerns of this course.
SOC2003 Political Sociology 3 6 Major Bachelor 2-3 - No
This course is primarily concerned with the social bases of political phenomena. In this introductory course, such topics as political power, voting behavior and political movements are discussed in light of several sociological perspectives.
SOC2004 Sociology of Work and Occupation 3 6 Major Bachelor 2-3 - No
Historical transition of work and occupations is introduced. Special attention is paid to such issues as how the work is organized, how occupational segregation is related with social control, what the subculture of each occupation is, etc. Various kinds of rewards people get from work as well as their negative aspect--social inequality through work--are also reviewed.
SOC2005 Sociology of Marriage and Family 3 6 Major Bachelor 2-3 - No
Study of the structure of family, interaction patterns among family members, and the relationship between family and society, and the like are introduced. Also dealt with are such related topics as marriage processes, factors associated with success or failure in marriage, etc.
SOC2006 Deviance and Crime 3 6 Major Bachelor 2-3 Korean Yes
Theories and empirical studies of the causes and consequences of deviant behavior and criminal behavior will be dealt with in this course. Also dealt with is the social control to the deviant and criminal behavior.
SOC2007 Social Change 3 6 Major Bachelor 2-3 Korean Yes
This course studies the change processes in the structure and human relations of the society. Main emphasis is given to theoretical perspectives and related issues on the basic patterns of change processes, factors contributory to change, and resulting effects.