For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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. | |||||||||
| CHS7006 | A new human AI Sapiens Experience Design | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | Korean | Yes | |
| This course analyzes the impact of artificial intelligence (AI), big data, and digital platforms on consumer behavior and market ecosystems in the rapidly changing digital environment. Building upon this analysis, it explores experience design principles suited for the new human era, ‘AI Sapiens’. Focusing on human-AI interaction, it investigates user experience (UX) and service design strategies to help businesses and society adapt. It examines how AI influences consumer psychology and behavior, studies AI-driven market shifts, and analyzes digital transformation cases. The course also covers AI/data-driven UX/UI design concepts and applications of chatbots, voice recognition, and recommendation systems. It explores related technologies such as 5G, IoT, autonomous vehicles, and smart factories, while addressing ethics, privacy, and human-centered design. Through hands-on exercises and project-based learning, students design AI-based services, analyze real-world cases, and propose experience design solutions. This cultivates creative problem-solving skills and prepares students to become AI experience design experts who meet business and societal needs in the digital transformation era. | |||||||||
| CHS7007 | AI-Based Media Text Comprehension | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | Korean | Yes | |
| This course aims to equip students with the ability to critically analyze and understand various forms of media texts—such as news, advertisements, films, and social media—through the use of artificial intelligence (AI). Students will learn techniques in natural language processing (NLP), including sentiment analysis, keyword extraction, and text summarization, as well as methods for analyzing visual content using AI models like CNNs and GANs. The course also addresses issues of trustworthiness and ethical concerns related to AI-generated content. Combining theoretical instruction with practical application, students will complete hands-on assignments and projects using Python-based AI tools such as GPT and Gemini AI. | |||||||||
| 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. | |||||||||
| CLA7101 | AI-Assisted Research Methods for Linguistic Data | 1 | 2 | Major | Bachelor/Master/Doctor | Liberal Art | Korean | Yes | |
| AI-Assisted Research Methods for Linguistic Data is an interdisciplinary course designed for undergraduate and graduate students who wish to conduct research using linguistic data. Through step-by-step, hands-on activities, students engage in the entire research process—from identifying a research topic to collecting and preprocessing data, conducting experiments, visualizing results, and writing an academic paper—with the support of generative AI and a variety of AI-assisted tools. Upon completing the course, students will be able not only to independently carry out the entire process of linguistic data research but also to effectively select and utilize appropriate AI tools at each stage. They will also develop the ability to critically evaluate AI-generated outputs and apply them to their research in an informed, responsible, and independent manner. | |||||||||
| 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. | |||||||||
| DES5073 | Design Seminar 2 | 3 | 6 | Major | Master/Doctor | 1-4 | Design | Korean | Yes |
| This class is focused on topics of recent research trends and students are to give presentations and lead discussion. | |||||||||
| FDM4009 | Seminar in Fashion and Consumer Research | 3 | 6 | Major | Bachelor/Master | 1-4 | Korean | Yes | |
| The purpose of this seminar is to examine recent work relevant to fashion and consumer behavior research. We will select a set of topics, triggered by the latest ideas in fashion and consumer research in oder to develop creative research ideas and research proposal. | |||||||||
| FDM5004 | A Study of Korean Costume | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course studies the aesthetic and functional part of general Korean costume. | |||||||||
| FDM5007 | Special Topics in Fashion Design | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course helps the students to become qualified as a fashion designer with the basis for understanding the concept of design and the various aspects of design. Each student will practice design considering the principles and requisites for fashion design. | |||||||||
| FDM5013 | Contemporary Fashion Design Analysis | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| A study of relationship between the features of modern design and its socio-cultural background. | |||||||||
| FDM5021 | Special Topics in History of Korean Costume | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| A history of Korean costume from its earliest beginnings to the present. | |||||||||
| FDM5051 | Special Topic in Principle of Clothing Construction | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| These course aims to study the method of patternmaking which is suitable for the somatotype, physiological characteristics in women, men, and children. | |||||||||
| FDM5054 | Special Topic in Statistics | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| Students focus on data analysis, probability models, random variables, tests hypotheses, confidence, intervals. Weekly using statistical software. | |||||||||
| FDM5057 | Seminar in Fashion Industry | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| This course covers the selected topics related to consumer behavior, fashion merchandising and retailing managements, or international fashion merchandising management. | |||||||||