For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CHS7003 | Artificial Intelligence Application | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | - | No | |
| Cs231n, an open course at Stanford University, is one of the most popular open courses on image recognition and deep learning. This class uses the MOOC content which is cs231n of Stanford University with a flipped class way. This class requires basic undergraduate knowledge of mathematics (linear algebra, calculus, probability/statistics) and basic Python-based coding skills. The specific progress and activities of the class are as follows. 1) Listening to On-line Lectures (led by learners) 2) On-line lecture (English) Organize individual notes about what you listen to 3) On-line lecture (English) QnA discussion about what was listened to (learned by the learner) 4) QnA-based Instructor-led Off-line Lecture (Korean) Lecturer 5) Team Supplementary Presentation (Learner-led) For each topic, learn using the above mentioned steps from 1) to 5). The grades are absolute based on each activity, assignment, midterm exam and final project. Class contents are as follows. - Introduction Image Classification Loss Function & Optimization (Assignment # 1) - Introduction to Neural Networks - Convolutional Neural Networks (Assignment # 2) - Training Neural Networks - Deep Learning Hardware and Software - CNN Architectures-Recurrent Neural Networks (Assignment # 3) - Detection and Segmentation - Generative Models - Visualizing and Understanding - Deep Reinforcement Learning - Final Project. This class will cover the deep learning method related to image recognitio | |||||||||
| 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. | |||||||||
| 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. | |||||||||
| HRD5012 | Media in the Life and Education of Children | 3 | 6 | Major | Master/Doctor | 1-4 | - | No | |
| The purpose of this course is to explore the role of mass media in children's lives and education. The focus will be on the way to help children to grow as responsive readers of mass media. The topics include: the change in views on child in past and present; the trend and features of children's use of media in our society; the types and development of media education programs. | |||||||||
| KID5001 | Advanced Developmental Psychology | 3 | 9 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| Advanced study of developmental psychology in relation to current theories and research. | |||||||||
| KID5004 | Developmental Neuroscience | 3 | 9 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| Study of brain and neurological mechanisms, and processes in human development. | |||||||||
| KID5015 | Seminar on Socio-emotional Development | 3 | 9 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| Review and analysis of theories and research in social and emotional development from infancy through adult and survey of related psychological processes. | |||||||||
| KID5018 | Advanced Study of Typical Development | 3 | 9 | Major | Master/Doctor | 1-4 | Child Psychology and Education | Korean | Yes |
| Seminar on recent research in atypical development, emphasizing research methods and new directions for the atypical development. | |||||||||
| KID5037 | Advanced Theory of Early Childhood Education | 3 | 6 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| Introduce to the theoretical foundation of philosophical, psychological, and social-cultural theories related to early childhood education and discuss the modern implications of these theories. In addition, review the recent theories influencing concepts and principles of early childhood education. | |||||||||
| KID5044 | Language Art Education for Young Children | 3 | 6 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| Study of research on listening, speaking, reading and writing in early ages, emphasizing its application to language education for young children. | |||||||||
| KID5045 | Illustrations of Picture Books | 3 | 6 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| Understanding and appreciation of the process of the creation of the visual aspects of children's books, including the developmental process from preliminary sketches and/or storyboard to the published book; relationships to verbal texts; format and layout; various media and techniques; case studies of individual artists and works. | |||||||||
| KID5055 | Nonfiction Seminar | 3 | 6 | Major | Master/Doctor | 1-4 | Child Psychology and Education | - | No |
| The purpose of this course is to investigate the literary and artistic features of nonfiction as children's literature and its connection with primary and elementary school curriculum. | |||||||||