For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CEK6104 | Seminar in Thought of Korean-Chinese Arts | 3 | 6 | Major | Doctor | 1-4 | Confucian Studies, Eastern Philosophy and Korean Philosophy | - | No |
| This course studies traditional figures of Korean art by comparing the works including the gentleman culture, like the old tomb murals, the architectures and arts, etc. with Chinese ones. | |||||||||
| CEK6108 | Special Lecture on Thought Culture in East Asia | 3 | 6 | Major | Doctor | 1-4 | Confucian Studies, Eastern Philosophy and Korean Philosophy | - | No |
| This course surveys Thought and culture in East Asia centering around Korea, China and Japan. How was Confucianism originated in China spread? How did Buddhism which began in India blossom out in Korea and Japan? How did Taoism change in each society? We discuss various thought in the East Asia perspective. | |||||||||
| CHS7001 | Introduction to Blockchain | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | - | No | |
| This course deals with the basic concept for the overall understanding of the technology called 'blockchain'. We will discuss the purpose of technology and background where blockchain techology has emerged. This course aims to give you the opportunity to think about the limitations and applicability of the technology yourself. You will understand the pros and cons of the two major cryptocurrencies: Bitcoin and Ethereum. In addition, we will discuss the concepts and limitations about consensus algorithm (POW, POS), the scalability of the blockchain, and cryptoeconomics. You will advance your understanding of blockchain technogy through discussions among students about the direction and applicability of the technology. | |||||||||
| CHS7002 | Machine Learning and Deep Learning | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | - | No | |
| This course covers the basic machine learning algorithms and practices. The algorithms in the lectures include linear classification, linear regression, decision trees, support vector machines, multilayer perceptrons, and convolutional neural networks, and related python pratices are also provided. It is expected for students to have basic knowledge on calculus, linear algebra, probability and statistics, and python literacy. | |||||||||
| 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. | |||||||||
| DAT5003 | Writing Research Paper | 3 | 6 | Major | Master/Doctor | 1-4 | Acting for Theatre, film, and Television | Korean | Yes |
| Through this course, a student analyzes well known plays and film scripts then create text based on the analyzation. This is a must course in order to create well structured stories in depth. | |||||||||
| DAT5004 | Educational and Therapeutic Theatre through Communication | 3 | 6 | Major | Master/Doctor | 1-4 | Acting for Theatre, film, and Television | Korean | Yes |
| This course offers theatrical teaching methods and therapeutic theatre in order to open one's career boundary to education and medical field. | |||||||||
| DES5005 | Communication Design 1 | 3 | 6 | Major | Master/Doctor | 1-4 | Design | Korean | Yes |
| Studies about the effect and possibility of visual communication which are composited by Symbol, illustration and typograghy which are basic factors of visual design. | |||||||||
| DES5007 | AD ＆ Presentation | 3 | 6 | Major | Master/Doctor | 1-4 | Design | - | No |
| Study of design and presentation for advertising, Emphasis on communication stratege and AD creative. | |||||||||
| DES5021 | Package ＆ Branding | 3 | 6 | Major | Master/Doctor | 1-4 | Design | Korean | Yes |
| The package item are selected to perform individual study and team project whole procedures form research, analysis and development to modification and supplement are reviewed. | |||||||||
| DES5029 | Project Seminar | 3 | 6 | Major | Master/Doctor |
1-4
1-4 |
Design | Korean | Yes |
| This course is consisting of subject seminars(such as'Trends in Technology and Design')that identify, synthesize and integrate the future direction of design | |||||||||
| DES5035 | Design Marketing Strategy | 3 | 6 | Major | Master/Doctor |
1-4
1-4 |
Design | - | No |
| This course introduce the students to key brand ideas and phenomena and develop their strategy in marketing analysis and planning. | |||||||||
| DES5036 | Design Process | 3 | 6 | Major | Master/Doctor |
1-4
1-4 |
Design | - | No |
| This course focuse on the objective vision of designers in design process. such as, creating concept, target segments, and presentaion for the customers Emphasis on communication strategy for successful global operations | |||||||||