For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CHS2002 | Data Science and Social Analytics | 1 | 2 | Major | Bachelor | 1-4 | Challenge Semester | - | No |
| This course is intended to examine human behaviors and social phenomena through the lens of data science. Students also may learn online data collection and analysis in social media spaces. It deals with both theory and practice, but relative portion may change in each semester without prior notice. | |||||||||
| COM3022 | Artificial Intelligence | 3 | 6 | Major | Bachelor | 4 | Computer Education | English | Yes |
| This course introduces problem representation in state space, depth first search, and heuristic search. Also, knowledge representation methods using rule, predicate logic, and resolution are described. | |||||||||
| CON3032 | Consumer Big Data Analysis | 3 | 6 | Major | Bachelor | 2-4 | Consumer Science | Korean | Yes |
| Introduction to machine learning for consumer science. This course covers foundational concepts in machine learning such as overfitting, cross validation, and bias-variance tradeoff, and application of machine learning algorithms to consumer big data analysis. | |||||||||
| CON4013 | Artificial Intelligence Data Analytics | 3 | 6 | Major | Bachelor/Master | Consumer Science | Korean | Yes | |
| This course covers advanced data analysis methodologies using modern artificial intelligence techniques, including machine learning and deep learning. Students will develop the ability to perform in-depth processing and analysis of data in various forms and scales, and derive meaningful insights. Through this course, students will acquire sophisticated analytical capabilities applicable to various research fields, including consumer studies, and cultivate problem-solving skills to propose solutions for real-world problems through hands-on programming exercises. | |||||||||
| CON4014 | Data Science for Causal Inference | 3 | 6 | Major | Bachelor/Master | Consumer Science | Korean | Yes | |
| This course covers advanced data analysis techniques for evaluating the causal effects of interventions designed to influence consumer behavior. Topics include the potential outcomes framework, causal analysis methods, model estimation and validation using data analysis tools, and real-world applications through replication studies. Students will gain an understanding of the causal inference in data-driven decision making and develop the skills to apply these concepts. | |||||||||
| CON4015 | Data-Based Quantitative Research Methods | 3 | 3 | Major | Bachelor/Master | Consumer Science | English | Yes | |
| Data-Based Quantitative Research Methods is a methodological course that introduces the core principles of quantitative research and the procedures of data-driven empirical analysis used across the social sciences. The course is designed to help students understand the full process through which quantitative research formulates research questions, organizes and analyzes data, interprets statistical results, and ultimately derives evidence-based conclusions. Students will learn essential concepts in quantitative inquiry, including research design, variable measurement, sampling strategies, and assessments of validity and reliability. Through hands-on work with Stata, they will conduct key stages of empirical analysis such as data cleaning, descriptive statistics, exploratory data analysis, and regression modeling. This practical engagement will enhance their applied research skills. By the end of the course, students will be able to recognize data structures and patterns, interpret analytical outputs, and use empirical evidence to explain social phenomena. The course focuses on building a strong conceptual understanding of quantitative research and developing students’ capacity to apply data effectively across a wide range of social science research contexts. | |||||||||
| 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. | |||||||||
| EDU3004 | Counseling Psychology | 3 | 6 | Major | Bachelor | 3-4 | Education | Korean | Yes |
| The course is to teach students counseling techniques to preserve and improve personal positive behaviors as well as to change abnormal behaviors such as anxiety, fear, anger, impulsivity, overactivity, delinquency and so on, and to treat patient's psychic disorders. This techniques include theory of psychodynamics, cognitive therapy, rational- emotive therapy, realty therapy behavior therapy, family therapy, and group counseling. | |||||||||
| ERP4001 | Creative Group Study | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course cultivates and supports research partnerships between our undergraduates and faculty. It offers the chance to work on cutting edge research—whether you join established research projects or pursue your own ideas. Undergraduates participate in each phase of standard research activity: developing research plans, writing proposals, conducting research, analyzing data and presenting research results in oral and written form. Projects can last for an entire semester, and many continue for a year or more. SKKU students use their CGS(Creative Group Study) experiences to become familiar with the faculty, learn about potential majors, and investigate areas of interest. They gain practical skills and knowledge they eventually apply to careers after graduation or as graduate students. | |||||||||
| GBE3027 | Cognitive Neuroscience | 3 | 6 | Major | Bachelor | 3-4 | Biomedical Engineering | - | No |
| ‘Cognitive Neuroscience’ covers the cognitive and neural processes that support attention, memory, decision making, and consciousness. It explores neuroanatomy, behavioral measurement and methodology by which neural basis of cognition is investigated. | |||||||||
| 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. | |||||||||
| ISS3265 | Cross Cultural Psychology | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| Surveys research and theories on culture and psychology. Focuses on gaining a deeper understanding of Western and non-Western worldviews and their relation to various psychological topics, such as mental health, personality, spirituality, and emotion. Highlights both empirical and experiential approaches to studying cultural issues in psychology. | |||||||||
| 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. | |||||||||
| PRS2003 | Societal Changes and Stress | 3 | 6 | Major | Bachelor | Population Change and Resilience Societies | - | No | |
| The 4th Basic Plan for Low Birth Rate and Aging Society (2021-2025) moves away from policies focused on encouraging childbirth and instead presents the improvement of individual quality of life, particularly for children, youth, and the elderly, as one of its three main policy objectives. There is a need for basic courses that can enhance adaptability and resilience to change and stress, allow individuals to enjoy positive experiences amidst change, and cultivate optimism to recognize new opportunities. Through this, it is expected that a foundation of knowledge, attitudes, and values can be established, paving the way for practices that improve the quality of life for individuals and society in the future. The primary goal of the course on Social Changes and Stress is to build fundamental skills that can enhance students' understanding and coping abilities regarding stress, thereby improving their resilience and quality of life as they navigate the rapidly changing future society and demographic shifts. This course will be conducted with the participation of faculty members from three universities: the Department of Psychology at Gachon University, the Department of Psychology at Sungkyunkwan University, and the Department of Social Welfare at Konyang University. | |||||||||