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For more details on the courses, please refer to the Course Catalog

Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
CEK5123 Reading of the Essential Writings of Hundred Schools of Thoughts(zhuzi baijia) 3 6 Major Master/Doctor 1-4 Confucian Studies, Eastern Philosophy and Korean Philosophy - No
This course aims to investigate philosophical differences and similarities between pre-Qin thoughts including Confucianism, Mohism(墨家, Mojia), Daoism(道家, Daojia) and Legalism(法家, Fajia) by reading their original texts widely. Students thus would be able to learn the basic philosophical foundations of East Asian Philosophy. Through this, students are to research in priority the central and philosophical themes, which constituted Hundred Schools of Thought, such as the transition of the relationship between Heaven(天, Tien) and Human(人, Ren), differences in ethical point of views, and its corresponding changes in social ideologies, etc.
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 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.
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.
DHC5011 Introduction to Health Data Management 3 6 Major Master/Doctor 1-8 Digital Health Korean Yes
Introduction of Health data management is designed to focus on the evaluation of quality and validity of data, and in highlighting the importance of appropriate use and handling of data when answering research questions relevant for public health. This course will provide students with an introduction to health data management, including the design of health care database, the collection and management of health data in Clinical research. In this course, we overview the basic contents of various topics of Health data management. More specifically, we cover the following: (1) Introduction of health data management, (2) Clinical Data Interchange Standards Consortium(CDISC), (3) Database design and impelmentation in clinical research (4) Practice of data management using Statistical package such as SAS-SQL, STATA.
DHC5023 Global Health Informatics Standard 3 6 Major Master/Doctor 1-4 Digital Health - No
The global standards for Biomedical informatics or health informatics are essential to accomplish appropriate communication of data and information about healthcare, research, education and patient safety have been developed by Standards Developing Organizations such as ISO, WHO, etc. It is important for students who are studying Biomedical informatics to understand and develop ability to adopt relevant global standards in their work. Th scope of ISO/TC 215, Health Informatics is "Standardization in the field of information for health, and Health Information and Communications Technology (ICT) to promote interoperability between independent systems, to enable compatibility and consistency for health information and data, as well as to reduce duplication of effort and redundancies. The domain of ICT for health includes but is not limited to: Healthcare delivery, Disease Prevention and wellness promotion, Public health and surveillance and Clinical Research related to health service.
EAS5034 Scientific Research of Modernity in East Asia 3 6 Major Master/Doctor 1-4 East Asian Studies - No
This course takes a positivistic approach to make a research into how the intellectuals of Korea succeeded in forming the modern world. The difference in knowledge of the Middle Age and of the modern times comes from the difference of knowledge on the subjects of cognition. The formation of the modern world cannot be detached from the formation of the new system of knowledge. Korea's modern intellect was formed after intellectuals made strenuous efforts to change themselves and acquire advanced knowledge and experience from neighboring nations including China and Japan. The desire for gaining knowledge was further accelerated by the newspapers, especially the magazines.
EAS5214 Gender and East Asian Women 3 6 Major Master/Doctor 1-4 East Asian Studies - No
The goal of this course is to examine how gender or femininity was represented in modern East Asian culture and what social, historical, and intellectual contexts it contained. Moreover, this course will take into account women's self-representation and its shifting modes by examining some historical events.
LIS4002 History of Classification 3 6 Major Bachelor/Master 3-4
- No
This course provides principles and theories relevant to library classification from a historical viewpoint.
LIS4003 Advanced Collection Building 3 6 Major Bachelor/Master 3-4
- No
This course discusses how to achieve balanced organization, budgeting, evaluation, and cooperation from necessary parties in order to properly develop book collection for a library.
LIS4004 Advanced Cataloguing of Special Materials 3 6 Major Bachelor/Master 3-4
- No
This course provides an analytical toolkit necessary for cataloguing and classification of non-printed or special materials.
LIS4005 Advanced Management of College and University Library 3 6 Major Bachelor/Master 3-4
- No
This seminar concentrate on resources, service, system, policy of the university Library.
LIS4006 Advanced Management of Libraries 3 6 Major Bachelor/Master 3-4
- No
Discussion of the general mnagement in the library, including planning, stoff, personnel, finance and appraisal.
LIS4009 Seminar on Information Behavior 3 6 Major Bachelor/Master 3-4
- No
This course provides an comparative overview of theoretical approaches that are relevant to understanding human bevaviors. Special emphasis is on cybernetics based on cognitivism and general behaviorism.