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 | |||||||||
| CHS7004 | Thesis writing in humanities and social sciences using Python | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | - | No | |
| 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. | |||||||||
| 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. | |||||||||
| DAI5001 | Fundamentals of Artificial Intelligence | 3 | 6 | Major | Master/Doctor | 1-8 | Applied Artificial Intelligence | - | No |
| Artificial intelligence is a field of research into information processing models that can mimic human intelligence and cognitive functions. As a fundamental problem of artificial intelligence, it deals with theories and fundamental computational problems on the methods of empirical exploration, reasoning, learning and knowledge expression. It deals with logic-based proof of theorem, game theory, intelligent agent, etc., learns the basic principles of neural network, evolutionary computation, and beigean network, and examines areas such as expert system, computer vision, natural language processing, data mining, information search and bioinformatics as examples of its application. | |||||||||
| EDU5086 | Analysis of Factors | 3 | 8 | Major | Master/Doctor | 1-4 | Education | - | No |
| The purpose of this course is to enable an investigator to properly utilize factor analysis as a research tool. Such utilization requires an understanding of when the differences in possible mathematical procedures may have a major impact upon the substantive conclusions and when the differences might not be relevant for a given research study. So, This course has stress on the mathematical foundations of factor analysis. | |||||||||
| 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. | |||||||||
| HRD5011 | Picturebooks and Play | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| Modern picture books have developed as an unique art form rather than a sub genre of children's literature. This course will examine the relationships among picture books, imagination and play through literary works. Play elements of picture book reading behavior of child and adult readers will be observed and analyzed. The topics that this course will deal with are play and art, play and imagination, children's play expressed in picture books, child psychology, play elements of picture books and picture book reading. | |||||||||
| HRD5012 | Media in the Life and Education of Children | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | 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. | |||||||||
| HRD5016 | Approches to Cross-Cultural Counseling | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course will examine various issues involving counseling with children and families from diverse cultures. It will explore in depth the relationship among culture, status, ethnicity, cognitive ability, religion, physical ability, etc. Research from different countries will provide the basis for understanding the situation in Korea. | |||||||||
| HRD5017 | Child Abuse and Neglect | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course will provide a broad overview of the topic of child abuse and neglect. Including the assessment and treatment of physical abuse, emotional abuse and neglect. This course will also deal with the nature, causes, consequences, and societal responses to institutional and individual forms of child maltreatment. Students aim to propose legal, legislative and social reform in light of their social science understanding of violence against and by children. | |||||||||
| HRD5018 | Barriers to learning , development and participation in soceity | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course will examine the shift in the paradigm of inclusion. Special education will be viewed from the perspective of rights-based approach to learning for all children with disabilities. Education will be viewed with the purpose of reducing or eliminating barriers to learning and development. Furthermore, it will extend learning to include participation in the society. Students will be introduced to the new UN Convention on Persons with Disabilities and various other relevant documents. | |||||||||
| HRD5019 | Risk and Resilience | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course will provide an integrative review of major research findings on resilient adaptation during childhood. Since resilience is not a child attribute that can be directly measured, it will be viewed from the perspective of dual coexisting conditions of high adversity and positive adaptation in spite of this. The concept of risk and resilience will be applied to various risk factors. | |||||||||
| HRD5037 | Social Skill Training | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This course will provide advanced social techniques for establishing successful interpersonal relationships. In particular, the focus of this course will be given to peer interactions in school, work and community settings. | |||||||||
| HRD5039 | Parent-Child Communication and Coaching | 3 | 6 | Major | Master/Doctor | 1-4 | Human Resource Development | - | No |
| This ourse will review advanced commounication skills and coaching technique for increasing succesful mutual interactions between parent and childen throughout the ligespan. | |||||||||
| HRD5050 | Seminar on Creativity | 3 | 6 | Major | Master/Doctor | Human Resource Development | - | No | |
| Course for understanding potisive Seminar course for most recent topics on creativity | |||||||||