For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| SIC5033 | Using big data to address social and cultural inequality | 3 | 6 | Major | Master/Doctor | Convergence for Social Innovation | - | No | |
| Thiscoursereviewsthesocialinnovationresearchinwhichmachinelearningtechniquesareusedasaprimaryempiricaltoolforanalysis.Topicsincludeequalityofopportunity,education,health,environment,criminaljustice,andpossiblyothersdependingonthecharacteristicsofclass.Inthecontextofthesetopics,thecourseprovidesanintroductiontobasicdataanalytictechniquesandmachinelearningmethods,includingregressionanalysis,quasi-experimentalmodeling,artificialneuralnetworks,andtree-basedmethods. | |||||||||
| 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. | |||||||||
| SOC2002 | Social Stratification | 3 | 6 | Major | Bachelor | 2-3 | Sociology | 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. | |||||||||
| SOC5061 | Elementary/Intermediate Statistics | 3 | 9 | Major | Master/Doctor | Sociology | Korean | Yes | |
| This class provides the Graduate-level, social-science majoring students with a variety of Elementary and Intermediate levels of statistics, besides Advanced statistics, which include descriptive and a variety of inferential statistics (e.g., z-test, t-test, χ2-test, F-test, Simple Regression, Multiple Regression, Logistic Regression, etc.). | |||||||||
| SOC5062 | Factor Analysis / Covariance Structure Analysis | 3 | 9 | Major | Master/Doctor | Sociology | - | No | |
| This class provides the Graduate-level, social-science majoring students with a variety of Advanced Statistics (besides Elementary & Intermediate Statistics), which includes, most importantly, Factor Analysis (EFA & CFA) and Covariance Structure Analysis. | |||||||||
| SWF2001 | Introduction to Social Welfare | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| This course provides students with a basic framework for understanding the field of social welfare. This course surveys the philosophy, history & services of social welfare as well as its values, methords & practice settings of the social work profession. | |||||||||
| SWF2001 | Introduction to Social Welfare | 3 | 6 | Major | Bachelor | 2-3 | Social Welfare | Korean | Yes |
| This course provides students with a basic framework for understanding the field of social welfare. This course surveys the philosophy, history & services of social welfare as well as its values, methords & practice settings of the social work profession. | |||||||||
| SWF2002 | Human Behavior and Social Environment | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| The main focus of this course is on assessment, i. e., understanding the underlying reasons why people act the way they do and evaluating the strengths and deficits in the development of people. One of the primary steps in the helping process is assessment. Assessment involves evaluating some human condition or situation and making decisions about what aspects of the behavior or situation need to be changed. | |||||||||
| SWF2003 | Social Welfare Policy | 3 | 6 | Major | Bachelor | 2-3 | English | Yes | |
| This course focuses on major social policy contents regarding definition, history, socioeconomic conditions for the development of policy formulations, relationship between social policy and the market economy, conflicts among various sections of the society with relation to social policy, social policy programs in the developed countries such as U.S.A., Germany, Japan and Sweden. This course further explores the critical evaluations and alternatives of social welfare policy in Korea. | |||||||||
| SWF2004 | Social Work Practice Theories | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| This course provides a beginning understanding of the key concepts, values and perspectives concerned with direct practice with individuals, groups and families. It presents a variety of intervension skills, and provides opportunities to make use of those skills in role plays. Content includes: helping relationships, interview techniques, recording, case study, assessment, contracts, intervention, evaluation and termination. This course put emphasis on a case finding and role play on it. | |||||||||
| SWF2005 | Social Welfare Practice Direction | 3 | 6 | Major | Bachelor | 2-3 | English | Yes | |
| Introduction to basic skills and techniques of social work intervention in problem situations at individual, family and group levels. | |||||||||
| SWF2006 | Social Welfare Administration | 3 | 6 | Major | Bachelor | 2-3 | English | Yes | |
| This course deals with theory and practice in the management and administration of the social services. It focuses on the various areas of responsibility of the administrator/manager including planning, directing, and controlling. Course content will include material on staffing, budgeting, external and public relations, and the use of managenent technology. Discussion will also center on management philosophies and styles, various theories of motivation, and types of organizational incentives. | |||||||||
| SWF2007 | Community Welfare | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| Community organizing means bringing people together to combat shared problems. It provides the means through which people work together to increase their control over decisions that affect them. This course is designed to focus on macro levels of social work intervention with and within larger systems. It emphasizes providing students with a basic grounding in social work macro practice, as well as an overview of the theoretical and conceptual literature, and a model for analysis of each of these arenas. | |||||||||