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. | |||||||||
| CHS7004 | Thesis writing in humanities and social sciences using Python | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | Korean | Yes | |
| This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing. | |||||||||
| CHS7008 | Strategic Decision-Making with AI | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | Korean | Yes | |
| This course equips students with the essential skills to make strategic decisions using generative AI. As technology rapidly transforms every industry, the ability to critically evaluate AI-generated information and integrate it into decision-making has become a core competency. This course addresses that need by preparing students to work with AI not just as a tool, but as a collaborative partner. Students will gain a foundational understanding of AI systems, particularly the workings of generative AI models. They will learn to analyze unstructured outputs such as text and predictions, assess data reliability, and identify biases. Ethical and responsible use of AI is emphasized to build both technical and social awareness. Going beyond traditional data analysis, the course explores human-AI collaboration in solving real-world problems. Students will examine decision-making case studies across industries including business, healthcare, finance, and policy. Through team-based projects, they will apply AI tools to complex strategic challenges. The curriculum reflects global academic standards, drawing inspiration from courses at MIT, Stanford, and Carnegie Mellon. By aligning with leading institutions, the course helps students build globally competitive capabilities. Ultimately, this course develops future-ready professionals who combine AI fluency with critical thinking and leadership. It is an essential foundation for navigating a world where AI shapes strategy. | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| ISS3265 | Cross Cultural Psychology | 3 | 6 | Major | Bachelor | 1-4 | English | Yes | |
| 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. | |||||||||
| 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. | |||||||||
| PRS3003 | Theory and Data Analysis of Current Population Issues | 3 | 6 | Major | Bachelor | Population Change and Resilience Societies | - | No | |
| This course offers an in-depth exploration of both enduring theories and contemporary debates related to critical population issues, including declining birth rates and the complexities of an aging population. Students will engage in hands-on analysis, utilizing real-world data to enhance their comprehension and insights. The curriculum encompasses a range of topics, not limited to the examination of population trends and the intricacies of spatial analysis, ensuring a comprehensive understanding of the dynamics at play in demographic studies. | |||||||||
| PRS3012 | Elderly Health Information | 3 | 6 | Major | Bachelor | Population Change and Resilience Societies | - | No | |
| This course covers principles and theories related to the management and accessibility of health information for the aging population. It explores understanding issues related to health information demands throughout the life cycle in an aging society. Topics include information modeling, information service provision, improvement of information accessibility, design of health information systems, ethical and legal considerations, and health information policie. | |||||||||
| PSY2001 | Cognitive Psychology | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| This course is an introduction to human information processing, which is the basis of cognitive psychology/cognitive sciences/cognitive neuroscience, on a basic level. The course covers a wide range of empirical results and their implications from perception, attention, memory, decision, and reasoning. Students mainly learn materials from lectures, in-class activities and homework. This course is designed for 2nd and 3rd year undergraduate students who already completed [Introduction to Psychology]. | |||||||||
| PSY2003 | Statistical Analysis In Psychology | 3 | 6 | Major | Bachelor | 2-3 | English | Yes | |
| This course covers analysis and interpretion of psychological data using a statistical software. Students are expected to learn basic procedures for data analysis in behaviral sciences and related concepts required to understand the result. In addition, they will learn how to use R program for data analysis through the lectures and their assignments. This course is designed for 2nd- or 3rd-year undergraduate students. | |||||||||
| PSY2004 | Modern Social Psychology | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| Social psychology studies how people think about, relate, and influence one another. The major topics of the course include social cognition, social relations, and social influence. This course aims to enhance students’ understanding of basic concepts and theories in social psychology. To this end, the course will introduce representative studies directly relevant to important real-world issues, such as self, social judgment, person perception, attitudes, interpersonal relations, and stereotypes. | |||||||||